196 programming-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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or infectious disease dynamics in a programming environment, is required. Experience in vector ecology or vector-borne disease research is advantageous. The post is availably up to 30 September 2026 - with a
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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vitro cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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element biology, repetitive sequence analysis, or genome regulation. You will be proficient in developing reproducible computational pipelines for large-scale sequencing datasets, with strong programming
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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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or statistics. They will bring strong analytical and programming skills, with experience in techniques such as algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive
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. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research