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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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interact with other members of the unit You participate in teaching on bachelor and master level You participate in evaluation measures and in quality assurance This is part of your personality: PhD in
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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of novel software tools and pipelines for new and cutting-edge analysis. There is scope to design new laboratory experiments and commission high-throughput data generation, so although primarily
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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of
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at the forefront of contemporary trauma care. About You The post holder must be pursuing / completed a PhD degree or equivalent in Bio Medical Science related field. Pursuing / completed PhD degree or equivalent in
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer