Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress. With a long-term vision and a strong commitment to the AI field, the team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field. Computer, Electronics, Mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job Details

Location: City Hall

Working Hours: Mon-Fri, Office Hour

Work Type: 3+9 Month Contract

Salary: Up to $ 4,100 per month

What you will be working on?

• Assist with data collation, analysis, and compilation of Singapore Cultural Statistics
• Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.
• Assist with organisation of research training workshops for the Cultural Policy Research Network.
• Assist with project management of Cultural Connections.
• Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).
• Any other duties as may be agreed and assigned.

What are we looking for?

• Singaporean only
• Minimum Degree in Global Studies/ Political Science/ Public Policy/ Art Management or relevant discipline.
• Good eye for details, interest in research, publications, and data management
• Good command of English with good communication and written skills

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Nutritionist will be responsible for developing and implementing nutritional programs, conducting research, and analyzing data to support our health initiatives. This role requires a strong background in nutrition science and proficiency in data management and analysis tools.

Key Responsibilities

• Develop and implement personalized nutrition plans for clients based on their health needs and goals.
• Conduct nutritional assessments and provide evidence-based dietary recommendations.
• Collect, manage, and analyze nutritional data using various data management tools and software.
• Interpret data to identify trends and insights that can improve nutritional programs and outcomes.
• Collaborate with healthcare professionals, researchers, and other stakeholders to support nutritional research projects.
• Prepare detailed reports and presentations on nutritional findings and recommendations.
• Stay updated with the latest research and advancements in nutrition science and data analysis techniques.
• Educate clients and the community on nutrition and healthy eating habits through workshops, seminars, and written materials.

Qualifications

• PhD degree in Nutrition, Dietetics, or a related field.
• Certification as a Registered Dietitian Nutritionist (RDN) or equivalent.
• Proven experience in data management and analysis, preferably in a healthcare or research setting.
• Proficiency in data analysis software (e.g., SPSS, SAS, R) and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a multidisciplinary team.
• Strong organizational skills and attention to detail.

Preferred Qualifications

• Knowledge of statistical methods and research design.
• Experience in public health nutrition or community nutrition programs.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

The School of EEE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. The interested can find the research topic related to this job in PI (Nanyang Assistant Professor Guangwei Hu): https://dr.ntu.edu.sg/cris/rp/rp02126.

We are looking for a Research Fellow to support research works in CMNE. The role will focus on developing the low-dimensional nanophotonics, focusing on the nonlinear and quantum optical properties of emerging low-dimensional materials.

Key Responsibilities:

The Research Fellow will work on a project to conduct the research on development of low-dimensional nanophotonic structures for quantum and nonlinear optical applications. The roles of this position include:

• Conduct research and develop theoretical models for low-dimensional material nanophotonics.
• Apply numerical models, design photonic nanostructures and measurement of the research above.
• Collaborate with interdisciplinary teams and contribute to joint research projects.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics.
• Experience in matlab, MEEP, RCWA and other softwares and algorithms.
• Excellent publication track records.
• Good understanding of nonlinear and quantum optics.
• Strong knowledge of optical physics, while experimental experience would be preferred.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage projects, and meet deadlines.
• Effective communication and presentation skills.
• Attention to detail and commitment to scientific rigor.

We regret to inform that only shortlisted candidates will be notified.

Are you a creative visionary with bold ideas waiting to come alive? Do you thrive on turning imagination into impactful experiences? If so, we’re looking for you!

Join the School of Art, Design and Media as a Research Associate and Creative Producer for a part-time, three-year journey in Singapore, where you’ll collaborate with an extraordinary team of artists, creatives, and technologists. Together, we will craft high-quality, immersive experiences that inspire, captivate, and innovate.

If you are a seasoned professional or someone with fresh, bold ideas, this is your chance to make a difference in a dynamic, interdisciplinary environment.

Why Join Us?

• Be at the heart of a groundbreaking creative team that fuses research, artistry, and technology.
• Work on impactful projects with flexibility and freedom to unleash your creativity.
• Enjoy a collaborative, inclusive, and forward-thinking work culture.

Your Role

As a Research Associate and Creative Producer, you will:

• Build meaningful partnerships and grow our creative network.
• Manage press activities, craft engaging press releases, and ensure seamless dissemination.
• Contribute to cutting-edge creative production and interdisciplinary research projects.
• Coordinate field research and scout locations to bring ideas to life.
• Effectively share and disseminate project findings and updates.

What You will Bring

• Qualifications: Master’s Degree in a relevant field.
• Skills: Strong organizational skills, exceptional communication abilities, and a passion for creative exploration.
• Mindset: Open-minded, reliable, adaptable, and eager to collaborate in diverse environments.
• Experience: Background in research coordination, outreach, or creative production is highly valued.

What We Offer

• Flexibility: A half-time schedule tailored to support your creativity and lifestyle.
• Opportunity: Work on pioneering projects that challenge norms and redefine creativity.
• Impact: Be part of a team making meaningful contributions to the creative and technological landscape.

How to Apply

Ready to channel your creativity into meaningful work? We want to hear from you!

We regret to inform that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology invites applications for the position of Research Associate in Prof Yin Xunyuan’s group.

The Research Associate will take on a significant role in machine learning enabled optimal design and efficient operation for blended-amine CO2 capture.

Key Responsibilities:

The Research Associate will work together with R&D team to conduct the following tasks:

• Development of new machine learning modeling approaches
• Development of new advanced control and optimization algorithms
• Optimization of carbon capture process operation
• Provide regular project updates to principal investigator and funding agency
• Report writing/presentation

Job Requirements:

• Master’s degree in an engineering field related to this project
• Experience in dynamic modeling, machine learning and optimization & controls
• Having basic knowledge in carbon capture, utilisation and storage (preferable)
• Good oral and written communication skills, with the ability to effectively engage with a diverse range of individuals and professional groups, primarily in English.

We regret to inform that only shortlisted candidates will be notified.

Responsibilities

• Full-time involvement in the management of studies, including performing routine and non-routine experiments under good laboratory practices. Must be able to work proactively, with excellent self autonomy, and good time management.
• To participate in several study-based activities (planning, maintenance). To assist the implementation and development of experimental methods and techniques based on the upcoming needs of the studies.
• To produce quality results within the required time frame, as well as analyze data and draw basic conclusions. To review routine data, monitor and escalate deviations. Support quality / compliance inspections and audits conducted by both internal and external parties.
• To perform qualification/validation set-up of new analytical endpoints and equipments. Able to configure complex systems.
• To manage/troubleshoot existing equipments and ensure adequate maintanence.
• Ensure the day to day laboratory operation is smooth and efficient. Foster a culture of collaboration and enable frequent technical exchange across the network. Able to train other staff in experimental techniques/technology systems related to the lab.
• To perform general administrative work such as tracking the supply of daily consumables.
• To coordinate with vendors/suppliers on procurement matters.
• Back up to the manager bioanalytical & in vitro operations to review and approve test results and assist on study planning for the Bioanalytics department in work flow optimization, resourcing, procurement etc.
• Assist and support in writing technical reports (method validation protocol and report); update standard operating procedures (SOP) and work instructions (WKIs) and data compilation.

Requirement

• Min Diploma with 3 - 4 years’ experience/ Degree with 1 - 2 years’ experience (eg, experience with chromatography methods like HPLC and GC).
• Ideally experience within a CRO, R&D unit within pharmaceutical or healthcare industries, or translational academic research organizations
• Hands-on experience on a broad range of analytical and bioanalytical platforms , i.e. LC/GC, LC-MS/MS, and other characterization tools for chemical entities.

Up to $4.6K

Perm opening

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Hiring for serious candidate only. Please go throught the job role below before applying:

• All admin duties (data entry, phone calls, set appointment, liease with supplier, ordering/ purchasing of materials, filing)
• Basic Accounting (Book Keeping, Knowledge of QuickBook)
• Able to lead the workers to follow their set schedule & monitor their daily schedule and punctuality (basic HR)
• Any Ad-Hoc assignment as assigned
• Mature and responsible
• Ability to prioritize tasks assigned
• Take care of Cleanliness in the office
• Punctual
• Fast Phase and be on timeline
• Only working weekdays. (Saturday and Sunday - off day)
• Malaysian, PR of Singapore or Singaporean only

Entitlement :

1. Annual Leave

2. Medical Leave

3. Bonus (depends on Performance)

4. Pay raise (depends on Performance)

5. etc

Interested party may send your resume to;

Ms Doreen : [email protected]

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

We regret to inform that only shortlisted candidates will be notified.

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

We regret to inform that only shortlisted candidates will be notified.

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics Assistant/Warehouse Assistant
• Working Location: Ang Mo Kio
• Working Hours: 5 days (9.00 am – 6.00 pm)
• Salary Package: Basic $3,000 + AWS + Performance Bonus
• Duration: 2-Year Contract (Renewable)

Key Responsibilities

• Independently carry out standardized operations as per SOP and 6S standards, and guide the team to meet order deadlines and ensure timely deliveries.
• Address issues in the delivery process, report unresolved problems promptly, and seek solutions to maintain order flow.
• Ensure timely completion of all warehouse orders and deliveries, understand operational requirements, regularly summarise and categorize delivery data, including abnormal orders, and provide timely feedback.

APPLY NOW!!!

• NITEC or higher, preferably in logistics or supply chain management.
• 1-year experience in warehouse operations is preferable.
• Proficient in office software, and familiar with warehouse entry and exit processes and basic computer operations.
• Good teamwork and communication skills, good integrity, attention to detail, good professional ethics, good organizational and coordination abilities, initiative, and responsibility.
• Positive attitude, eager to learn, and willing to follow leadership directions.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67138 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics Assistant/Warehouse Assistant
• Working Location: Ang Mo Kio
• Working Hours: 5 days (9.00 am – 6.00 pm)
• Salary Package: Basic $3,000 + AWS + Performance Bonus
• Duration: 2-Year Contract (Renewable)

Key Responsibilities

• Independently carry out standardized operations as per SOP and 6S standards, and guide the team to meet order deadlines and ensure timely deliveries.
• Address issues in the delivery process, report unresolved problems promptly, and seek solutions to maintain order flow.
• Ensure timely completion of all warehouse orders and deliveries, understand operational requirements, regularly summarise and categorize delivery data, including abnormal orders, and provide timely feedback.

APPLY NOW!!!

• NITEC or higher, preferably in logistics or supply chain management.
• 1-year experience in warehouse operations is preferable.
• Proficient in office software, and familiar with warehouse entry and exit processes and basic computer operations.
• Good teamwork and communication skills, good integrity, attention to detail, good professional ethics, good organizational and coordination abilities, initiative, and responsibility.
• Positive attitude, eager to learn, and willing to follow leadership directions.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67138 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

• Must need to work on weekends and Public holidays
• Assisting the store manager in all areas of daily business operations, human resources, customer service and merchandising.
• Coordinating, monitoring and reporting on daily operations.
• Recruiting, training and supervising employees.
• Managing employee schedules, conducting performance reviews and enforcing disciplinary actions.
• Monitoring and maintaining suitable store inventory levels.
• Assisting with the development of new sales and recruitment strategies.
• Ensuring the store environment complies with health and safety regulations.
• Maintaining a clean, organized and aesthetically pleasing store front.
• Resolving customer complaints and concerns in a timely manner.
• Ensuring that store policies and procedures are followed.
• Providing accurate information (e.g. product features, pricing and after-sales services)
• Answering customers’ questions about specific products/services
• Keeping the store fully stocked
• Maintaining the highest level of visual merchandising and store conditions
• Conduct price and feature comparisons to facilitate purchasing
• Cross-sell products
• Ensure racks are fully stocked
• Manage returns of merchandise
• Coordinate with the Retail Sales Representatives team to provide excellent customer service (especially during peak times)
• Inform customers about discounts and special offers
• Stay up-to-date with new products/services
• Delivering exceptional sales services for improved customer satisfaction
• Interacting with customers and identifying their needs and preferences
• Operating cash registers and point-of-sale machines
• Receiving and verifying the quality and quantity of new shipments
• Enforcing in-store security and health and safety procedures and regulations
• Assist to condition fresh flowers and maintain the flower shop's cleanliness
• Assist to craft/arrange floral arrangements and bouquets (including but not limited to hand bouquets, table flowers and centerpieces, hampers)
• Assist to prepare and pack fresh flower arrangements and other materials required for daily maintenance, floral set ups which includes preparing floral containers, required props, floral foam and floral carts for storage, refrigeration and delivery
• Assist to deliver flower arrangements, and touch up flowers if there are any placements arranged beforehand
• Assist to do daily routine maintenance, or as and when required to ensure flowers remain in good condition
• Follow instructions and complete tasks assigned by superiors
• Coach and support other team members
• Hire and train new employees for the sales floor or other departments (e.g. shipping and receiving)
• Maintain and monitor store inventory
• Ensure that the store is clean, safe and presentable for customers
• Greet and assist customers as necessary when other sales associates are busy
• Conduct regular audits of the store’s physical and practical condition to ensure quality
• Maintain product levels appropriately
• Interact with the public via social media and maintain the store’s online presence
• Process sales when necessary
• Generate and review daily sales report

Responsibilities:

• Communication Strategy & Content Development
• Content Creation & Management
• Event Planning & Coordination
• Stakeholder Collaboration
• Campaign Monitoring & Reporting

Requirements:

• Bachelor’s degree in Communications, Marketing, Public Relations, or biomedical and sciences related field.
• 2 years of experience in healthcare communications, public relations, or a related field, preferably in a clinical or research environment.
• Excellent writing, editing, and communication skills, with an ability to simplify complex clinical information.
• Proficient in managing digital communication platforms and content management systems.
• Critical thinking and creativity to devise innovative communication strategies.
• Knowledge of healthcare innovation trends and an understanding of clinical research processes.

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Eddie Tang | Registration No: R1221129

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics Assistant/Warehouse Assistant
• Working Location: Ang Mo Kio
• Working Hours: 5 days (9.00 am – 6.00 pm)
• Salary Package: Basic $3,000 + AWS + Performance Bonus
• Duration: 2-Year Contract (Renewable)

Key Responsibilities

• Independently carry out standardized operations as per SOP and 6S standards, and guide the team to meet order deadlines and ensure timely deliveries.
• Address issues in the delivery process, report unresolved problems promptly, and seek solutions to maintain order flow.
• Ensure timely completion of all warehouse orders and deliveries, understand operational requirements, regularly summarise and categorize delivery data, including abnormal orders, and provide timely feedback.

APPLY NOW!!!

• NITEC or higher, preferably in logistics or supply chain management.
• 1-year experience in warehouse operations is preferable.
• Proficient in office software, and familiar with warehouse entry and exit processes and basic computer operations.
• Good teamwork and communication skills, good integrity, attention to detail, good professional ethics, good organizational and coordination abilities, initiative, and responsibility.
• Positive attitude, eager to learn, and willing to follow leadership directions.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67138 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

• The Senior Research Associate will coordinate, plan, and perform routine and non-routine activities in the cell bioassay department in accordance with pertinent guidelines and highest scientific standards. The activities include the development of cell based assays and methods, the maintenance of in vitro test systems, resource monitoring, and the execution of experiments in accordance with Good Laboratory Practices.
• This role will be part of a team where he will have to work jointly with operators having different levels of expertise. Communication, proactiveness, and self-management will be essential in order to deliver functional execution of in vitro studies on time and on budget whilst ensuring compliance with pertinent guidelines and scientific standards.
• The senior research associate will also support the in vivo department by performing clinical pathology analysis.

Responsibilities

• Implement, perform and develop experimental methods and techniques based on company needs. Ensure the established methods/techniques meet the company scientific standards, act as the primary subject matter expert in these techniques. Ensure the developed method are maintained to date by tracking advances in the field. Supervise/train staff in experimental techniques/technology systems related to the lab.
• Plan and coordinate activities on clearly defined programs, track progress in relation to timelines/ timetable. Coordinate daily work planning within Cell Bioassays team and to organize the practical aspects of additional measurements in the study. Being point of contact for study-related matters, to coordinate and participate in several study-based activities within own team and participate in resource monitoring and scheduling.
• Produce quality results within the required time frame, as well as analyze study related data/reports by applying scientific and technical principles and draw basic conclusions. Review routine data, monitor and escalate deviations. To lead in determining root cause of unusual findings and provide CAPA (Corrective and Preventive Actions).
• ·Support the in vivo department by performing clinical pathology analysis. It includes the testing of sample chemistry, hematological assessment, and various other assays.

Requirement

• Min Diploma with > 2 years' experience (eg, experience with cell biology and molecular biology methods like flow cytometry, ELISA

Up to $4.6K

office hours

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

The Laboratory of Surgical System & Service Innovation (3SI) is a multi-disciplinary laboratory that provides a platform for cutting-edge surgical health services research that informs healthcare systems, policies, and programs to provide high-value, patient centered care for patients and their families undergoing surgery.

We are looking for an enthusiastic, dynamic, meticulous, and responsible research fellow or senior research coordinator with expertise and experience in qualitative research methods to complement the team. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for seriously ill patients in surgery.

Among others, your role will focus on qualitative and ethnographic research, and this may include assisting with study design, implementation, in-depth qualitative interview, coding, and qualitative analysis.

*Successful Applicant with Degree or Master's Degree as highest academic qualification will be offered Senior Research Coordinator position, while PhD holders will be offered Research Fellow position.

Main Responsibilities:

1. Qualitative research

• Design and implement new studies/ programmes
• Create interview guides and focus group discussion frameworks
• Conduct in-depth interviews
• Manage and organise field notes and recordings
• Transcribe audio recordings accurately
• Conduct analysis of qualitative data

2. Data Collection, Management, Analysis

• Gathering data from various sources and organizing it for analysis
• Performing statistical and data analysis techniques to generate insights from the data
• Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning

3. Presentations & Data Visualization

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations
• Data Visualization: Creating visual representations of data to effectively communicate insights
• Preparation of presentation slides and posters for submission to local and international conferences
• Preparing manuscript suitable for publication

Main Requirements

• Bachelor’s / Master’s degree or PhD in the healthcare related fields, social sciences or psychology such as, but not restricted to: Sociology/ Anthropology, Social Work, or Public Health
• At least 5 years of work experience in non-research sector that demonstrates candidate’s ability to work independently and in a team, manage projects, analyze data, write reports and communicate effectively.
• OR At least 2-3 years of qualitative research experience (e.g., participatory action research, ethnographic research, evaluation research, culture-centered approach) which demonstrates candidate’s ability to work with qualitative research team, and conduct fieldwork in local settings with people from different walks of life.
• Demonstrate ethical considerations, sensitivities and competencies working with older adults and/or vulnerable populations.
• Interest in conducting both evaluation and exploratory research that impact policies and programmes relevant to health/serious illness/palliative care/ageing/surgery/disparities
• Experience in using NVIVO 11/12 qualitative analysis software
• Demonstrate versatility in conducting qualitative research analysis (eg. discourse analysis, grounded theory, phenomenological analysis, narrative inquiry, constructivist, thick description, reflexivity/ standpoint, political economic analysis)
• Able to work independently and interactively in a team setting, motivated, responsible and a fast learner
• Passionate about clinical and health service research to bring about positive impact to patients