63 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U"-"O.P" Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Research Assistant on Session Types: Theory and Programming Semantics Fixed-term until 30 September 2026 to start from 1 October 2025 Grade 06: £34,982-£40,855 per annum inclusive of Oxford
-
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
-
surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
-
Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
-
have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
-
associated activities. • Experience of actively collaborating with external partners in the development of research programs and articles for publication. The post is offered on part-time (50% FTE
-
strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
-
Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
-
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
-
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