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We are looking for a postdoc to join our international team with a broad research focus from functional materials, electrode processing, to the high performance batteries. Become part of our
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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Manufacturing - Metal ) that is focused on material and process development for powder-based metal AM. The centre is hosted by the Division of Materials and Manufacture at the Department of Industrial and
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, for example: how to assess, quantify, and visualize strategic sustainability- and value-driven design criteria in early phases of the innovation process; develop design methodology approaches towards
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processing, material recycling, nuclear chemistry, as well as theory and modelling. We have projects and competence that are in the top front in certain areas, and present results that are met with a lot of
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process, advanced analytical techniques will be applied, including mass spectrometry imaging, chromatography tandem mass spectrometry, and scanning electron microscopy (SEM), in combination with
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by systematically rebuilding the Swedish fava bean value chain through innovative agronomic, processing, and pilot-scale solutions, bridging the gap between field, factory, and food. We are offering a
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computer algebra tools to efficiently study these problems. A particularly useful technique is to study how different kinds of symmetries can characterize a spacetime and give a manifestly coordinate
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of learning with digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users of the learning resource worldwide. What you will do
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made Solid background in mathematics, physics and programming Experience in processing or analysis of synthetic aperture radar data You will need strong written and verbal communication skills in English