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AI training is offered. Candidates will: Hold, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large datasets Previous experience in statistical
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Promote equality and diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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: Candidates should have a PhD in a relevant field and experience or demonstrable interest in working as part of a research team. You will be at a relatively early stage of your academic careers. Funder
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: Candidates should have a PhD in a relevant field and experience or demonstrable interest in working as part of a research team. You will be at a relatively early stage of your academic careers. Funder
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diverse and interdisciplinary team from recent PhD graduates in human geography or cognate fields. Applicants must have experience of undertaking fieldwork with garment worker communities and must have
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post-doctoral, or with a clear sight to completing PhD with the research competencies to match, registered clinician, healthcare, or care practitioner They have a strong track record in practice-research