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consequences, and designing strategies to test them experimentally. Your profile A doctoral degree in Physics awarded no more than three years prior to the application deadline*. A strong background in particle
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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education on wood materials from nano to macro level, wood composites, and wood adhesives, as well as accredited testing of wood products and treatments for the market. More info about the activities
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well as accredited testing of wood products and treatments for the market. More info about the activities of the research group at Uppsala can be found here: https://www.slu.se/en/departments/forest
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enables real-time testing in interaction with the human cardiovascular system dynamics across various patient groups. You are expected to publish in scientific journals in an independent way and to support
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detailed catalyst characterization where APT (atom probe tomography) is a key technique. The catalyst will be tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of
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to the development of advanced methods for electrode fabrication, with a particular emphasis on electrophoretic deposition. You will also conduct electrochemical testing under applied magnetic fields to improve
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tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of the work will be detailed catalyst characterization. A wide range of methods will be used, including XRD
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contribute to the activities including TES unit development, laboratory testing and techno-economic analysis to identify optimal integration opportunities. Cooperation with industrial and academic national and
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model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation Machine Learning Integration Develop and implement machine learning