16 high-performance-computing-postdoc Postdoctoral positions at University of London in United Kingdom
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Engineering or related area. You should have expertise in computational-modelling, analysis, and high-performance computing, with proficiency in CFD, fluid-structure-interaction and programming. Experience in
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and Hypertension (SLASH). This project brings together expert academic teams and wider stakeholders to develop policy interventions to reduce salt intake to prevent high blood pressure, heart disease
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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other demands About You We are looking for an experienced researcher to develop and deliver projects that leverage whole-genome sequencing at population-scale to identify rare, high-impact variants
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specific behaviors, analyzing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing
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researcher to work in collaboration with and under the supervision of Professor Michelle West to realise the objectives of a research programme into Epstein-Barr virus (EBV) mechanisms of transformation and
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have