21 phd-in-architecture-and-built-environment-"Prof" Postdoctoral positions at University of Cambridge
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include a motivation statement, which demonstrates how their research interests and expertise relate to the project and the desired tasks. Applicants must hold a PhD in a relevant specialist subject (e.g
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PhD in a relevant specialist subject (e.g., Latin language and/or literature, medieval studies, cultural studies, history, liturgy, or theology) or have evidence that the PhD will be completed by
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research skills, provide instruction or plan/ deliver seminars relating to the research area. The successful candidates will have a PhD (or expect to soon be awarded) in the physical or biological sciences
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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research skills, and deliver seminars relating to the research area. The successful candidate should possess a PhD in Applied Analysis of Geophysical Fluid Models. Limit of tenure: 1 year in the first
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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of instruction and the planning / delivery of seminars relating to their research area. The successful candidate will have completed (or expect to soon be awarded) a PHD in Theoretical Physics or closely related
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technical nature and be able to build internal and external contacts. The successful candidate will have a proven record of internationally outstanding research, a PhD (within the last three years (2022
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets