A Senior/Principal Process Development Engineer is responsible for developing or overseeing the development of chemical processes including low carbon processes as well as monitoring, troubleshooting and optimizing processes in a pilot plant leading up to a technology transfer. He/she will perform process design, engineering and scale-up of in a Low-Carbon Technology Translational Testbed (LCT3) on Jurong Island leading up to a technology transfer. This role requires good understanding and knowledge of the underlying key process/chemical engineering and scientific principles of low carbon technologies and uses computer aided engineering tools such as simulators, process and plant engineering tools for process development and engineering. This individual thinks analytically to solve problems and improve existing methods and processes.

Key Accountabilities

• Responsible for providing scientific and technical direction and/or development, design, and scale up of carbon capture, utilisation and low carbon hydrogen technologies
• Responsible for developing new projects, including timelines, milestones, methodological approaches, expected results and necessary resources.
• Responsible for the executing or planning/directing of laboratory-based or pilot-based experiments to support process development, scale-up campaigns and process optimisation leading up to technology transfer
• Lead or support multi-disciplinary team of scientist and engineers through technical challenges and contribute to the successful completion of projects
• Supervise and mentor junior process development scientists and engineers

JOB REQUIREMENTS

• Doctorate or Master’s degree in Chemical or Mechanical or other related engineering fields.
• Possess at least 10 years of experience in process development and engineering with good knowledge on process control and safety in the process or chemical industry
• Excellent working knowledge on various process technologies, scale-up & scale-down and process intensification methodologies or principles
• Has good working experience with relevant computer aided engineering tools including simulation (eg. Aspen Plus, AVEVA, Gproms etc.), and the use of detailed process models to support process design, scale-up and process optimisation during operations
• Experience in collaborating and has good appreciation with other related disciplines eg. electrical and instrumentation, automation, process safety etc.
• Ability to plan and/or execute experiments at laboratory and pilot scale (scale-up/scale-down) to support process development, troubleshooting and optimisation
• Working experience in a chemical production facility and familiarity with regulations, codes and industry best practices would be a bonus
• Working experience in process/plant engineering tools (eg. AutoCAD process/plant engineering, Aucotec Engineering Base, etc.) would be a bonus
• Possess technical leadership quality to lead team and/or supervise junior engineers
• Possess strong interpersonal, oral and written communication and organization skills
• Self-driven and meticulous individual who has the strong ability to multi-task and has good time management skills to deliver results under tight timelines
• Excellent written and oral communication skills for the timely documentation, presentation, and discussion of results in a fast-paced, multidisciplinary, team-based environment

Home Care Nurse - Chronic Illness & Palliative Care

Position: Home Care Nurse
Salary: $3,000 - $5,200
Working Hours: Monday to Friday, Office Hours
On Call: One Saturday every 2 months (with a day off in lieu)

We are looking for dedicated and compassionate Home Care Nurses to join our team and provide essential care to chronic ill and palliative patients at home.

Key Responsibilities:

• Perform home visits to assess and manage chronic ill/palliative patients.
• Conduct nursing assessments and coordinate with doctors for medical evaluations and follow-up visits.
• Monitor patient medication adherence and compliance with doctor-prescribed treatments.
• Perform critical nursing procedures such as wound dressing, catheter insertion, naso-gastric tube insertion, and care of medical tubing.
• Develop and implement nursing care plans and suggest new measures for patient management.
• Educate caregivers/families on essential nursing procedures to ensure continuous care at home.

Requirements:

• Minimum Diploma/Degree in Nursing.
• At least 2 years of specialized training in Onco, Home Care, Palliative Care, Geriatrics, or IPW.
• Ability to work independently with minimal supervision.
• Experience in managing 3-5 cases per day on average

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Home Care Nurse - Chronic Illness & Palliative Care

Position: Home Care Nurse
Salary: $3,000 - $5,200
Working Hours: Monday to Friday, Office Hours
On Call: One Saturday every 2 months (with a day off in lieu)

We are looking for dedicated and compassionate Home Care Nurses to join our team and provide essential care to chronic ill and palliative patients at home.

Key Responsibilities:

• Perform home visits to assess and manage chronic ill/palliative patients.
• Conduct nursing assessments and coordinate with doctors for medical evaluations and follow-up visits.
• Monitor patient medication adherence and compliance with doctor-prescribed treatments.
• Perform critical nursing procedures such as wound dressing, catheter insertion, naso-gastric tube insertion, and care of medical tubing.
• Develop and implement nursing care plans and suggest new measures for patient management.
• Educate caregivers/families on essential nursing procedures to ensure continuous care at home.

Requirements:

• Minimum Diploma/Degree in Nursing.
• At least 2 years of specialized training in Onco, Home Care, Palliative Care, Geriatrics, or IPW.
• Ability to work independently with minimal supervision.
• Experience in managing 3-5 cases per day on average

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Home Care Nurse - Chronic Illness & Palliative Care

Position: Home Care Nurse
Salary: $3,000 - $5,200
Working Hours: Monday to Friday, Office Hours
On Call: One Saturday every 2 months (with a day off in lieu)

We are looking for dedicated and compassionate Home Care Nurses to join our team and provide essential care to chronic ill and palliative patients at home.

Key Responsibilities:

• Perform home visits to assess and manage chronic ill/palliative patients.
• Conduct nursing assessments and coordinate with doctors for medical evaluations and follow-up visits.
• Monitor patient medication adherence and compliance with doctor-prescribed treatments.
• Perform critical nursing procedures such as wound dressing, catheter insertion, naso-gastric tube insertion, and care of medical tubing.
• Develop and implement nursing care plans and suggest new measures for patient management.
• Educate caregivers/families on essential nursing procedures to ensure continuous care at home.

Requirements:

• Minimum Diploma/Degree in Nursing.
• At least 2 years of specialized training in Onco, Home Care, Palliative Care, Geriatrics, or IPW.
• Ability to work independently with minimal supervision.
• Experience in managing 3-5 cases per day on average

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Job Description

We are seeking a motivated and talented Senior Scientist/Scientist to join our optical clock development team. This position focuses on supporting the research, design, and development of optical atomic clocks, with an emphasis on ultra-high vacuum (UHV) chamber design and construction for cold atom systems. The successful candidate will play a key role in advancing precision measurement technologies and contributing to cutting-edge research.

The successful applicant will join our Time & Frequency Laboratory and contribute to projects aimed at redefining the SI Second. Key responsibilities include:

• Working in the design and assembly of UHV chambers for cold atom or ion-based optical clock systems.
• Conducting experiments to evaluate and validate clock performance and stability.
• Collaborating with multidisciplinary teams to support the integration of optical clock technologies into broader systems and applications.
• Staying informed on the latest advancements in optical clock research and applying these insights to ongoing projects.
• Maintaining compliance with safety regulations and quality standards throughout the development process.

Job Requirements

• Ph.D. in Physics, Engineering, or a related field, with a focus on optical clock technology or atomic physics.
• Experience with UHV systems or experimental setups for cold atoms or ion traps is highly desirable.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex experimental setups.
• Excellent communication and collaboration skills to work effectively within multidisciplinary teams.
• A proactive attitude, with a willingness to learn and contribute to a dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and talented Senior Scientist/Scientist to join our optical clock development team. This position focuses on supporting the research, design, and development of optical atomic clocks, with an emphasis on ultra-high vacuum (UHV) chamber design and construction for cold atom systems. The successful candidate will play a key role in advancing precision measurement technologies and contributing to cutting-edge research.

The successful applicant will join our Time & Frequency Laboratory and contribute to projects aimed at redefining the SI Second. Key responsibilities include:

• Working in the design and assembly of UHV chambers for cold atom or ion-based optical clock systems.
• Conducting experiments to evaluate and validate clock performance and stability.
• Collaborating with multidisciplinary teams to support the integration of optical clock technologies into broader systems and applications.
• Staying informed on the latest advancements in optical clock research and applying these insights to ongoing projects.
• Maintaining compliance with safety regulations and quality standards throughout the development process.

Job Requirements

• Ph.D. in Physics, Engineering, or a related field, with a focus on optical clock technology or atomic physics.
• Experience with UHV systems or experimental setups for cold atoms or ion traps is highly desirable.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex experimental setups.
• Excellent communication and collaboration skills to work effectively within multidisciplinary teams.
• A proactive attitude, with a willingness to learn and contribute to a dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

• You will be developing and implement hospital-based education program to advance and improve nursing professional practice and this will include to Obtain accreditation required to conduct the various types of training.

Training and Education

• Conduct training needs analysis to determine skills / knowledge gap
• Plan, develop, co-ordinate / conduct orientation and in-house training / education program and evaluate effectiveness of training program
• Source for external learning opportunities; facilitate / organize conferences, seminars and workshops.
• Guide and advise clinical instructors/preceptors regarding nursing students and staff competencies matters.
• Support the Nurse Manager in investigating ward incidents pertaining to nursing students.
• Support the Nurse Manager to maintain consistent compliance in standards of patient.
• Providing supervision to all grades of nurses, including trainee nurses.
• Identifying skills and knowledge deficits in nursing care delivery.

Assessing skills competency.

• Plan and coordinate with Nurse Manager and Nurse Clinician to identify staff for advanced/specialized staff development, e.g. Advanced diplomas, (Community Care Manpower Development Awards (CCMDA) etc.
• Maximize training budget to achieve maximal utilization for staff education and development.
• Market training program to external organizations.
• Coordinate clinical placements for nursing students, and request for attachments from external organizations.

Clinical Practices and Standards

• Serve as a role model in clinical practices and standards.
• Uphold nursing standards and care practices through monitoring practices.
• Work with Nurse Clinician to develop audit tools to monitor nursing care practices.
• Assist in emergency situations involving patient care.

Requirements

• Min Degree in Nursing or a post basic qualification in Education, or Clinical Specialty
• At least 7 years in clinical care
• Min 1 to 2 year of nurse educator exp

Community Hospital

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

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Recovery Staff Nurse

Salary: $2500 - $5000 + OT

Working Days: 5.5 days, shift work

• Mon - Fri (7 - 4pm, 9 - 6pm & 10 - 7pm),
• Alternate Saturday (8:30am - 1pm)
• Staggered hours 8 hours depending on the roster plan

Working Location: Orchard

Duties of a Recovery Nurse

Recovery nurses provide critical care to patients before and after surgery. Recovery nurses treat a wide range of patients. They clean wounds, administer medication and monitor the progress of the patients' conditions

Before Surgery

• Work with anesthesiologists, surgeons, and surgical nurses to prepare patients for surgery.
• To record vital signs, instruct patients on the details of the procedures and administer intravenous therapy and medication.
• Help doctors transfer patients to the operating room, and may be asked to clean wounds, sterilize equipment and make sure patients' rooms are ready for their arrival.
• To communicate with loved ones and inform them of patients' conditions.

After Surgery

After surgery, recovery nurses are patients' primary care givers.

• Monitor their vital signs, clean bandages and comfort patients when they wake up from anesthesia.
• Administer tests, analyze lab results and report back to surgeons and doctors.
• Track the progress of patients' conditions, and ensure patients receive adequate rest, food, fluids and nutrients.
• Teach patients how to clean their bandages, take medication and care for themselves after they leave the hospital

Email: [email protected]

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Job Description

• Monitor patients and take vital signs
• Provide basic wound care and administer medication
• Document patient information
• Counsel patients and their families
• Prepare reports and refer patients to specialists if needed
• Complete other assigned tasks as required

Requirement

• Diploma in Nursing
• Valid SNB & BCLS

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Job Scope:

• Clinic Nursing duties in Radiology / ENT / Gastro / Healthscreening clinic
• Full jobscope will be shared during interview

Requirements:

• Min Diploma in Nursing
• Min 1 to 2 years of any nursing experience

Office hours (5.5days)

$3K to $5K (depending on exp)

Interested candidates, please send your updated resume to [email protected]

Huang Jingsheng Kevyn
Recruit Express Pte Ltd
Company EA License number: 99C4599
Personnel EA License number: R1333338

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 Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

Imperial Global Singapore – NH3-SOFC – Assistant Programme Director

Location: Singapore

Salary: S$12,000 – S$14,000, Monthly dependent on experience, plus performance related bonus

Hours: Full Time

Imperial Global Singapore, Imperial College London’s formal research and innovation entity in Singapore, is seeking an experienced senior postdoctoral research assistant as an Assistant Programme Director for the NH3-SOFC research programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global Singapore (IGS) offices, located on the campus of the National University of Singapore. This senior role will be responsible for leading the coordination of the NH3-SOFC research team, working across materials science, device engineering, electrochemistry, and in collaboration with the Programme Co-Directors based at both IGS and Nanyang Technological University.

The programme aims to develop solid oxide fuel cells that can effectively and efficiently use ammonia directly as a fuel source while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and performance loss, the research will explore new materials, catalysts, and cell designs. There will be two cell types of interest in this programme: i) oxygen-ion and ii) proton-conducting ceramic membrane electrolytes. The project will span the length scales, from materials discovery, including with computational approaches, through mechanical properties and microstructure optimisation to incorporation into short stacks for durability testing.

The Assistant Programme Director will be tasked with leading the coordination of the research team based at IGS, coordinating with the NTU based team in collaboration with the work package leads and contributing to management of the programmes finances and reporting requirements by working closely the IGS Associate Director. In addition, the appointee will be expected to lead an independent programme of research developed in collaboration with the Programme Director.

Full Job Description: https://www.imperial.ac.uk/media/imperial-college/administration-and-support-services/international-relations-office/public/imperial-global-singapore/IGS---SOF-C---Job-Description---Assistant-Programme-Director.pdf

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Please apply here: Assistant Programme Director Application form

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 31 January 2025.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Professor Stephen Skinner [email protected].

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Job Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

[Job ID: 768323]

Responsibilities:

• Accurately document patients’ physical assessments, including height, weight, visual acuity, audiometry, and nursing observations.
• Adhere to strict infection control protocols and maintain aseptic techniques when caring for patients.
• Conduct regular inventory checks of medical equipment, surgical supplies, and instruments.
• Gather laboratory results, X-ray reports, and specialist feedback for review.
• Follow up with physicians regarding lab, X-ray, and other diagnostic results for further evaluation.
• Ensure timely availability of results and promptly inform the doctor of any urgent or abnormal findings.
• Manage clinic emails, phone calls, patient inquiries, and coordinate patient appointments and bookings.
• Register new patients, update their records, and send timely appointment reminders.
• Handle insurance claims and manage coverage for consultations, treatments, medications, surgeries, or hospital admissions.
• Communicate with Japanese insurance companies to secure Letters of Guarantee (LOG).
• Liaise with specialist clinics, hospitals, laboratories, and radiology departments for billing purposes.
• Follow up on outstanding payments from corporate clients, insurance companies, and self-paying patients.

Requirements:

• Must be registered with the Singapore Nursing Board.
• At least 1-2 years of experience in a clinic or general hospital setting.
• Skilled in setting up and performing IV cannulation.
• Proficient in Microsoft Excel.
• Able to work effectively under pressure.
• Knowledge in Platos System

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.
Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/
EA Personnel Name: Sandy Ng
EA Personnel Registration Number: R24125475
EA License No.: 07C5771

Job Scope:

• Clinic Nursing duties in Diagnostics / Gastro / Healthscreening clinic
• Full jobscope will be shared during interview

Requirements:

• Min Diploma in Nursing
• Min 1 to 2 years of any nursing experience

Office hours (5.5days)

$3K to $4.2K (depending on exp)

Interested candidates, please send your updated resume to [email protected]

Huang Jingsheng Kevyn
Recruit Express Pte Ltd
Company EA License number: 99C4599
Personnel EA License number: R1333338

Recovery Staff Nurse | After Surgery Care | Up to $5k | SNB Registered | Orchard

Salary: $2500 - $5000 + OT
Location: Orchard
Working days: 5.5 days, shift work
Mon - Fri (7-4pm, 9-6pm & 10-7pm),
Alternate Saturday (8:30am-1pm)
*staggered hours 8 hours depending on the roster plan

Duties of a Recovery Nurse

Recovery nurses provide critical care to patients before and after surgery. Recovery nurses treat a wide range of patients. They clean wounds, administer medication and monitor the progress of the patients' conditions

Before Surgery

• Work with anesthesiologists, surgeons, and surgical nurses to prepare patients for surgery.
• To record vital signs, instruct patients on the details of the procedures and administer intravenous therapy and medication.
• Help doctors transfer patients to the operating room, and may be asked to clean wounds, sterilize equipment and make sure patients' rooms are ready for their arrival.
• To communicate with loved ones and inform them of patients' conditions.

After Surgery

After surgery, recovery nurses are patients' primary care givers.

• Monitor their vital signs, clean bandages and comfort patients when they wake up from anesthesia.
• Administer tests, analyze lab results and report back to surgeons and doctors.
• Track the progress of patients' conditions, and ensure patients receive adequate rest, food, fluids and nutrients.
• Teach patients how to clean their bandages, take medication and care for themselves after they leave the hospital

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant