35 postdoctoral-image-processing-in-computer-science-"Prof" Postdoctoral positions at University of Cambridge
Sort by
Refine Your Search
-
. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
-
postdoctoral researchers in synthetic organic chemistry in the Department of Chemistry at the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor
-
Institute, located on the Cambridge Biomedical Campus, Cambridge, UK. The postholder will work closely alongside a postdoctoral research associate, Dr. Aldo Bader, to assist with several on-going projects in
-
initiation, focusing on complex cell¿cell communication dynamics (e.g., Nature 2024 PMID 39112713) The successful candidate will work closely alongside a postdoctoral research associate, Dr Iannish Sadien
-
Limit of tenure applies A Postdoctoral Research Associate position is available within the group of Dr Albert Koulman at the Institute of Metabolic Science (IMS), focusing on the development and
-
to recruit a bright and enthusiastic Research Assistant. The postholder will work alongside experienced postdoctoral research associates to assist with several on-going projects in the lab, exploring cellular
-
networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
-
We are inviting applications for a curious and motivated Postdoctoral Scientist (Research Associate) to join the de Hoz lab at the Department of Physiology, Development and Neuroscience. The de Hoz
-
enable the full exploitation of next-generation observations using Exascale computing, i.e. leading the research in solar/stellar physics for many years to come. We are seeking a highly motivated Research
-
. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila