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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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bargaining agreement. Supervision of students. Taking on administrative tasks in research, teaching and administration. This is part of your personality: PhD in chemistry Strong previous experience in
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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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. 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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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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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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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