30 formal-verification-computer-science Postdoctoral positions at University of Cambridge in United Kingdom
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neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common
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work involving marine bivalves. The ideal candidate will be self-motivated, passionate about cancer genome biology and somatic evolution, and willing to learn, develop and apply state-of-the-art
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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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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or
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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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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