106 parallel-computing-numerical-methods-"https:" positions at Imperial College London
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constituents; manufacture and characterisation of the structural supercapacitors and batteries; test method development and post-failure analysis of the tested cells and; development of multifunctional modelling
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analyses are under‑used: Only a minority of trials analyse prespecified treatment sequences, and none in the review implemented deeply tailored Dynamic Treatment Regimens methods in primary reports
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Do you want to lead one of Imperial’s most ambitious deep-science entrepreneurship programmes? We are seeking a Programme Lead to deliver and develop Creative Destruction Lab (CDL) London, working
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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We are seeking an ICT based Technical Delivery Manager, working as part of Research Computing Services at Imperial to help us deliver the forthcoming Research Excellence Framework 2029 (REF 2029
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
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Multi-Scale Modelling Project, working within a nationally coordinated programme tackling the most pressing challenges in battery science. Playing a key role in advancing PyBaMM (https://pybamm.org