184 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
-
Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
-
Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
-
The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
-
of new research areas, present their research findings at international conferences and learn advanced methods in mass spectrometry and glycobiology – all with an emphasis on career development and
-
doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
-
hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant biological discipline. Good communication and documentation skills, and the ability to work effectively as part of a team are essential
-
posters locally and at national and international conferences, as well as participate in MRC grant’s research programme led by Prof Marco Fritzsche. You must hold a relevant PhD/DPhil (or be near completion