Project Summary: We invite applications for a postdoctoral researcher to join our team in advancing machine learning applications for plant science. This project will focus on applying deep learning techniques to analyze imaging and gene expression data, with the goal of identifying key features associated with plant stress responses. Special attention will be given to the metabolic pathways involved in these responses. Project details will be discussed during the interview process.
Relevant publications:
[1] Transcriptome profile and network: Wu TW (2021) Nature Plants, Dong Y (2024) Nature Plants
[2] Hyperspectral imaging: Krishnamoorthi S (2024) Cell Reports
The full publication list can be found at http://www.tll.org.sg/group-leaders/urano-daisuke/
Responsibilities:
- Analyze macroscopic and microscopic images of plants with ML models
- Analyze gene expression profiles and identify metabolic pathways linked to image features
- Collaborate within a multidisciplinary team under Disruptive & Sustainable Technologies for Agricultural Precision (DiSTAP, https://distap.mit.edu/)
Requirements:
- PhD in Bioinformatics, Data Science, or a related field
- Experience in Python programming
- Experience in laboratory research or in frontend development will be an added advantage,
- Strong Communication Skills and a commitment to high standards of research ethics
Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.
Interested individuals should send their applications (curriculum vitae, including three referees’ contacts) to:
Dr URANO Daisuke
Principal Investigator
Temasek Life Sciences Laboratory Limited
Email: [email protected]
(Please note that only shortlisted candidates will be notified)
