696 phd-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions in United Kingdom
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Field
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genetics to establish the underlying molecular mechanisms. Candidates must have or be close to gaining a PhD in a relevant discipline (plant microbe interactions, plant protein biochemistry, or plant cell
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skills. Demonstrable excellence in scientific computer programming, including experience of developing complex programs to solve research problems in molecular quantum mechanics. Desirable Criteria
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other postdocs, research assistants and PhD and project students. The research group aims to apply the latest advances in molecular biology, immunology and neuroscience to better understand the mechanisms
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of Lincoln. This Leverhulme Trust-funded International Professorship project will involve the development and impacts of Dynamic Functional Materials. The programme is structured around the following themes
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of the resulting materials will be undertaken using thermal, mechanical and rheological methods, as well as using spectroscopy and GPC methods. Materials will be tested in applications and end-life recycling
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Application Deadline 2 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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About the role The Lu lab is interested in the mechanism by which cancer karyotype mutates and becomes resistant to therapy, with the aim of finding new ways to treat cancer more effectively. We
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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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for Human Genetics. You will play a central role in an interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. You will play a central
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider