104 postdoc-parallel-computing Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
-
to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
-
social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
-
About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
-
machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
-
months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
-
About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
-
Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
-
cell signalling pathways and demonstrate experience in integrating computational and experimental approaches to address key biological questions. Experience in supervising junior researchers and
-
Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and