49 medical-sciences "Mathematics" "Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt" Postdoctoral positions at University of Liverpool
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have a PhD in Electronic Engineering, Computer Science, Statistics, Applied Mathematics, Physics or another relevant discipline. This post is fixed term for 3 years. Any applicants who are still awaiting
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The University of Liverpool invites applications for the position of Postdoctoral Research Associate in Engineering Seismology to work on the multi-institution inter-disciplinary project SeisGreen
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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Prof Sir Munir Pirmohamed ([email protected]). A PhD in mathematics, computer science, data science or other relevant areas (or other equivalent qualification) is required for this role. Any
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A Research Associate is sought to work on laser and particle beam interactions at the Cockcroft Institute of Accelerator Science and Technology. The post holder will be primarily involved in
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A Research Associate is sought to work on laser/accelerator synchronisation at the Cockcroft Institute of Accelerator Science and Technology. The post holder will be primarily involved in developing
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, we also aim to obtain the first structures of CuNiR-qNOR protein-protein complexes in catalytic turnover. We require an experienced PDRA with fluency in several elements of a structural biology project
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be about to obtain) in areas relevant to this post (e.g. computer science, engineering, statistics, and mathematics etc.) Any applicants who are still awaiting their PhD to be awarded should be aware
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of Earth, Ocean and Ecological Sciences supports a wide range of mathematical research including magnetic field evolution, magma movement in the crust and sedimentary sequence evolution. The University
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skills, and a PhD in Engineering, Mathematics, or Computer Science are sought. The main aim of the work is to demonstrate the use of Uncertainty Quantification in developing and using non-deterministic