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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
computational chemistry to MFMs is that, even for "rigid" MFMs, especially when functionalized, their structures are disordered due to the random orientation of linkers. Such structural disorder and flexibility
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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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Rosalind Franklin Institute If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu
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and development of new drugs for invasive fungal diseases. Together, the MRC CMM, DDU and GSK GHM form a dynamic and multidisciplinary group that covers all aspects of drug discovery up to candidate
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fungal diseases. Together, the MRC CMM, DDU and GSK GHM form a dynamic and multidisciplinary group that covers all aspects of drug discovery up to candidate selection. This Wellcome-funded three-year post
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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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of electronic structure and computational materials discovery. In this role you will be performing first principles-based simulations for the description of chemical and structural dynamics in the context
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tools. As the successful candidate you will focus on developing theoretical models and inference tools to understand dynamic processes within and between cortical organoids. This involves integrating
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would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in
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to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological knowledge and experimental data – to understand