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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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this fundamental challenge, the PhD candidate will be part of a wider team to establish methodological framework, combing utilisation of controlled tree growth test, thermodynamic modelling and advanced optical
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molecular switches that could be targeted by anti-fibrotic drugs. You will master • genome editing, • human iPSC culture and directed differentiation, • live cell biomechanical imaging, and • multiomics
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careful management during surgical interventions. Hypothesis/Aims The project aims to create an in-silico model of the shared circulations of conjoint twins. This would enable the clinical care team
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communication skills with the ability to work collaboratively. Ideally, the candidate will have a strong background in molecular biology and/or biochemistry. A good knowledge of genomics and the chemistry
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of Cambridge Department of Medicine Molecular Immunity Unit, housed within the MRC Laboratory of Molecular Biology. Shortlisted candidates will be invited to visit the institute to deliver a seminar and
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have or expect to obtain a first or upper second-class degree in a relevant subject from a UK university, or equivalent standard abroad. Prior research experience, for instance in molecular biology
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, understand, characterise, and model the effect of surface roughness on wall turbulence when out of equilibrium. Particular emphasis will be made on determining if any form of flow similarity exists across
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grade. Generate data through comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface
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of these factors. The work will involve genomic, proteomic and molecular approaches to decipher how these proteins contribute to NEPC and to explore if they can be therapeutically blocked. We aim to understand how