15 postdoc-molecular-dynamics-simulation Postdoctoral research jobs at University of London in United Kingdom
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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high resolution microscopy, biochemical assays and molecular cell biology both in vitro and in vivo the present project aims to determine the impact of cellular senescence pathways on regulated
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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and self-motivated postdoctoral researcher with a strong background in molecular and cellular biology, as well as computational biology. A track record of effective communication, teamwork and
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore
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You The successful candidate will have a PhD (or soon to be awarded), or equivalent experience which has involved significant practical cell culture, and ideally experience with molecular biology
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imagination for atomistic structure and dynamics; an interest in fundamental science with real-world applications; and both the initiative to work independently and the skill to collaborate in a
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About the Role This post is part of a dynamic collaboration between the Centre for Trauma Sciences and the Centre for Translational Bioinformatics. The Centre for Trauma Sciences, is a
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of London. This Welcome Trust Funded post will be based at the Centre for Molecular Cell Biology (CMCB) within the School of Biological and Behavioural Sciences (SBBS) at Queen Mary. The project is focused
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and