23 molecular-dynamics-simulation Postdoctoral positions at University of Cambridge in Uk
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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, BRCA2, and PALB2. Through advanced single cell genomics, in vivo modelling, and immune profiling, the team will study early molecular and cellular changes that occur in high-risk breast tissue. The team
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to Research Associate (Grade 7) upon the award of PhD. The cellular dynamics of the plant hormones underpin all aspects of plant development and environmental responses. Targeted perturbations of phytohormones
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
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Limit of tenure applies We are seeking a highly motivated and skilled Postdoctoral Researcher in Human Physiology and Metabolism to join our dynamic research team at the Institute of Metabolic
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postdoctoral researchers in synthetic organic chemistry in the Department of Chemistry at the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor
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to many of the coordination challenges use simplifying assumptions and simulated operational environments to achieve success. Our team is pushing these assumptions to their limits, with the aim to break the
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the lab. This work will explore the molecular mechanisms of DNA damage responses and mutagenesis, and how sensitivity and resistance arise in different cancer cells and genetic backgrounds in response