139 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Oxford
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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We are seeking to appoint a Postdoctoral Researcher to develop novel probabilistic statistical machine learning methods to build causal predictive models available in the one-of-a-kind Novartis
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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execute experiments and contribute conceptually to the overall research programme. The post-holder should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular/cell biology or genetics
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advanced imaging and behavioural techniques in mice; and adapt existing and develop new scientific techniques and experimental protocols, with a particular focus on in vivo animal models (mice
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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
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. The postholder will be responsible for adapting existing, and developing new, analytical methodologies on both fluid and rock samples to determine helium, hydrogen and associated noble gas isotopic and other trace
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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by Medical Research Council and is fixed-term for 30 months. This project seeks to harness recent progress to develop innovative human models that better replicate complex pain pathways. We will