Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
-
experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
-
Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
-
24 Feb 2026 Job Information Organisation/Company University of Cambridge Department Department of Public Health and Primary Care (PHPC) Research Field Other Researcher Profile First Stage Researcher
-
develop skills in genetic epidemiology, in the analysis of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. The
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
-
Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge