149 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" positions at University of London
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(WIPH) is an exciting and dynamic environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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, the ability to supervise students and mastery of written and oral English communication. The successful applicant will have, or be about to obtain, a relevant PhD degree in Mathematics or Physics, or equivalent
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postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and technical staff team of 56. The staff and student
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to identify shared genetic regulation with common, complex diseases to discover new drug targets, indications and disease mechanisms. We have a keen interest in training the next generation of scientists
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, symplectic geometry, derived categories, and enumerative geometry. About You The successful applicant will have, or soon obtain, a PhD degree in mathematics or related, or equivalent level of professional
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group, work as part of the research team, mutually supportive, cover duties as necessary. About You The candidate should have experience working in a research, possibly with a PhD. Experience in standard
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animal handling and behavioral experiment procedures required for calcium imaging studies on cognitive tasks y to reveal mechanisms underlying flexible cognition. Comparable experiments in animal models
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will have a postgraduate qualification in a relevant field (PhD is desirable) and a solid understanding of research funding and the innovation processes. Your background enables effective collaboration