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Field
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successful in this role, we are looking for candidates to have the following skills & experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation
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must hold a PhD in psychology, animal behaviour, or another related field and must show experience with having worked with animals, ideally birds (and preferentially corvids). The applicant must have
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for differential rate correction). The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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quality refereed journals and write reports for submission to research sponsors. You must hold a PhD (or be near completion) in a biomedical field of laboratory-based research (ideally immunology and/or
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in either human
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conferences • Conduct literature searches and reviews • Attend conferences/workshops and present papers as required You Should Have: • PhD or near completion of a doctoral degree in a relevant
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. Attend conferences/workshops and present papers as required. You Should Have: PhD or near completion of a doctoral degree in a relevant subject Recent experience in research within higher education or
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simulations of cells and systems. You should: • Hold a relevant PhD/DPhil or be near completion together with relevant experience • Possess sufficient specialist knowledge in the discipline, particularly
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simulations of cells and systems. You should: Hold a relevant PhD/DPhil or be near completion together with relevant experience Possess sufficient specialist knowledge in the discipline, particularly continuum