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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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, and 2) to develop a physical model of cell shape dynamics during EMT. You should hold a PhD (or about to be awarded a PhD) in Biophysics or a related field and have extensive experience with cell and
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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, and 2) to develop a physical model of cell shape dynamics during EMT. You should hold a PhD (or about to be awarded a PhD) in Biophysics or a related field and have extensive experience with cell and
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access to a wide array of facilities and will be supported by MSM and Cambridge University's PhD framework, including the allocation of a pastoral tutor in college, a non-supervisory advisor in MSM, and a
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on the genetics of appetite and obesity. Candidates should be of postdoctoral level with relevant experience of canine or/and human genomics, or molecular biology. Candidates without PhD but significant expertise
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of transposon-derived variation and its role in functional genetic variation and genome evolution in animals. A PhD in a biological science or computational science is essential for this role. Those who have
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and experience required to perform the role are an aerothermal PhD with a combination of experimental, numerical and low order modelling experience. The PhD must be completed or near completion, and