22 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at University of Cambridge
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Applications are invited for a Postdoctoral Research Associate position in cellular biophysics in the group of Prof. Ewa Paluch. The Paluch lab studies cellular morphogenesis combining cell and
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Applications are invited for a Postdoctoral Research Associate position in cellular biophysics in the group of Prof. Ewa Paluch. The Paluch lab studies cellular morphogenesis combining cell and
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fundamental research and the clinic, with a mission to determine the molecular mechanisms of disease in order to advance human health. The funding for this position ends on 30th April 2030. Applicants must have
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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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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications
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Dr Nicole Church Start Date: October 2025 Closing Date: 16 May 2025 (position may be filled earlier if a suitable candidate is found) Stipend: £20,780 per annum plus £5,500 industry top-up Fees: Home
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Applications are invited for a postdoctoral research associate in the lab of Dr Jasper Poort and based at the Department of Physiology, Development and Neuroscience at the University of Cambridge
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour