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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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position within a Research Infrastructure? No Offer Description PhD student in nature-inspired biocarbon–enzyme composites for PFAS remediation The Department of Earth Sciences is Sweden"s most comprehensive
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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that such stacks should behave as one-dimensional metals, and potentially as superconductors. We have made a phase whose average structure matches that prediction in synchrotron powder diffraction and neutron total
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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engineering, or a related field, or an international degree deemed equivalent. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior
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Materials, with a focus on the design and structuring of advanced sorbent materials for environmental and gas-cleaning applications. The research subject “Engineering Materials” has ongoing research programs
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doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description A PhD position is available at the Centre