130 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
-
We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
-
relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information
-
and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss
-
, training, and dissemination. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply
-
plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
-
opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
-
with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be
-
, collecting data on small-scale movements of the eyes during visual tasks using high-resolution in vivo retinal imaging. The post is full time for 12 months or until the grant end date of 30 June 2027
-
on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development