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group has for many years conducted research on the ICF and its application in developmental, psychiatric and somatic conditions. The research aims to develop and evaluate ICF-based models, assessment
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research experience in areas such as cybersecurity, AI-supported systems, data-driven security, or closely related fields; has experience in implementing, evaluating, or applying AI/ML-based methods
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suitability for solid-state battery applications will be evaluated and these results will inform simulations of new materials. Qualifications Requirements A doctoral degree or an equivalent foreign degree in
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Chemical Engineering (Div Applied Electrochemistry) and Chemistry (Div. Applied Physical Chemistry). The project will focus on electrochemical and chemical evaluation of components and cells with materials
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platforms and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials on biological
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collaboration with Westinghouse and Uppsala University. You will lead research efforts using experimental and computational methods to evaluate the fission product diffusion kinetics and the formation of the high
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or AI-based decision support good ability to communicate verbally and in writing in English good collaboration skills and the ability to build relationships and research networks. We will also evaluate
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partners to identify challenges, co-design interventions, and evaluate alternative work practices and management approaches. Contributing to the development of evidence-based frameworks, models, and toolkits
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overlooked but very promising component: grease-lubricated wheel bearing systems. The project aims to develop and implement a systematic and realistic method for evaluating new grease formulations, using a
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who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication