635 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
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properties at an atomistic, electronic and structural level. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in
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biology, mass spectrometry and in vivo studies. About You The post requires a dedicated, motivated and passionate PDRA with a PhD in a relevant subject. The study requires substantial skills in cell and
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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and restorative recommendations for institutional strategy You will possess: A PhD in history or a related discipline, or equivalent research experience Experience accessing and working with archival
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exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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. Experience with CRISPR gene editing, microinjection and/or animal work would also be an advantage. Preferred start date October 2025 - the post is available until September 2029. You should have a PhD or
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to 2-3 lectures or tutorial per year. About you You will hold a PhD/Dphil (or near to completion) in field relating to cancer biology, immunology or cell biology. You will possess exceptional
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) benefiting from the exceptional network of academics at the University of Oxford, including the Oxford Volcanology group. About you You will hold or be close to the completion of, a relevant PhD/DPhil
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and