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, profilometry and AFM. You should also be familiar with theory of plasma discharges and have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time
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-resolved mass spectroscopy and should be versed in materials characterisation methods including XRD, nanoindentation, profilometry and AFM. You should also be familiar with theory of plasma discharges and
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Materials Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and
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to independently apply understanding of scientific theory to the structure and execution of research experiments. Demonstrated ability to interpret and explain the theoretical basis of the work performed. Preferred
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background in stochastics (probability theory and statistics) is desirable Good English as well as programming skills in R, python or C/C++ Pedagogical and presentation skills. German language skills are not a
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strong interest in social theory and conceptual development, rigorous and creative empirical work, as well as experience in or curiosity about transformative, participatory, or public-facing research
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About us Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black
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About us: Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black
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Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic