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Field
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techniques applicable. You should also have: A PhD degree (Research Associate) or a Master’s (Research Assistant) in computer science or a related area.* Familiarity with ICS and/or CPS. Excellent
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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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PhD or a PhD near completion in cell biology, bioengineering, bioscience, molecular biology or a related field. Candidates should have extensive experience of working with microfluidic chips, mammalian
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, Fergusson, Hartnoll, Pajer, Quevedo, Reall, Santos, Shellard, Sperhake, Wall and Warnick) and research staff and PhD students. There are close links with the Kavli Institute for Cosmology (www.kicc.cam.ac.uk
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You You will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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hold, or be close to completion of, a PhD/DPhil in accelerator physics, particle physics or a related field and have a solid background in beam dynamics, lattice design and beam transport studies
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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 qualified in
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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months. The post is funded by the ERC. About you Applicants must hold a PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. You will have expertise