158 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
systems that connect chemical, biological, and sensory data with textual and scientific knowledge. • Applying LLMs to accelerate discovery in food bioactives, sustainable materials, and food formulation
-
nowcasting platform that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes
-
behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in the production, characterization techniques of materials, and cell culture is required. Core
-
work if this position is offered to you. (We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.) More Information Location: Bukit Timah
-
problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
-
problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
-
progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough experimental design and accurate data
-
input and supervision. Lead the development of evaluation framework and/or assessment tool, survey design, interview, focus group discussion, qualitative and quantitative data analysis, and data
-
., Python, PyTorch/TensorFlow, C/C++ as appropriate) and experience with large-scale data analysis. Demonstrated ability to develop novel AI methods and adapt them to complex scientific problems. Ability
-
. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team