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on hardware which may include CPUs, GPUs and FPGAs. In particular we are interested in applicants who have experience of modern coding practices and software techniques. The post-holder will work with Prof. Ben
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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platforms (growth, characterisation, electrochemistry), computational modelling, or AI/automation, depending on your unique background. You will have obtained, or be about to obtain, a PhD (or equivalent) by
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mechanisms that could be targeted to promote more effective responses to infection and cancer. Essential requirements/skills for the post include: Holding (or expect to hold shortly) a PhD in Immunology or a
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recently submitted your thesis or successfully completed a PhD (or equivalent) in Materials, Chemistry, Engineering or a closely related discipline. Experience in formulation and specialist knowledge in
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materials devices. The successful candidate will hold a PhD (or equivalent) in experimental work on physics, condensed matter physics, chemistry, materials science. Preference will be given to applicants with
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, contributing to a systems-level understanding of placental biology. Candidates must have, or be about to obtain, a PhD in a relevant biological discipline, including an understanding of placental biology. Please
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, transcriptomics, proteomics, and epigenomics. Candidates must have, or be about to obtain, a PhD in a relevant genomic discipline, including an understanding of human genetics. Please refer to the particulars
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scientific aims, published as well-documented open source tools for wider adoption. The successful applicant will have a PhD with a significant computational and/or statistical element and will have experience
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atlases along with computational models to characterise the effect of exposures on different tissues in humans and model systems. You will have a PhD with a significant computational and/or statistical