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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences
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techniques is highly desirable. Expertise in the handling of human biological samples and translational biomedical research. Possess good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW
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: • Statistical programming and data analysis using R, Python, Stata, or similar tools • Experience with machine learning or AI methods for health data analysis • Experience working with large health datasets
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, agricultural expansion, and related environmental processes, including carbon, water, ecosystem, or climate impacts. Proficiency in programming and geospatial analysis skills, preferably including Google Earth
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Research Fellow to join our Fuel Cell and Hydrogen Technologies programme, contributing to a flagship research project on next-generation Vanadium Redox Flow Battery (VRFB) stack design and prototyping
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale genomics data, including (but not limited to) WGS and transcriptomic data
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. The candidate will take the lead on machine learning and computational analyses, primarily supporting our translational research program focused on developing AI-based models to predict cognitive decline. This
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) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication