28 high-performance-computing-postdoc Postdoctoral positions at University of London in United Kingdom
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nanotechnology and electrical sensing investigations (with 2D nanostructures), with an established track record of success in high-quality original research. Applicants should have a solid grounding in different
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or biomechanics. The researcher should be able to demonstrate the ability to publish in high quality scientific journals. A strong knowledge of using the ABAQUS simulation software package within
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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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internationally respected hub of inflammation research. It offers newly refurbished laboratories and a cutting-edge microscopy facility, making it ideal for high-impact research. The Charterhouse Square Campus is
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, with result informing not only potential human work but also work performed in other veterinary species. The successful candidate will have a strong background in heart physiology and some background in
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About the Role We have an opportunity for a Postdoctoral Research Associate in Machine Learning to join PHURI, within the research team of Dr Joseph Taylor working on improving our understanding and management of anemia, a leading causes of morbidity and mortality globally. The postholder will...
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve