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materials science research at the international forefront to empower sustainable technologies with positive impact on society and to train future leaders in society, industry, and academia. Subject
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publication list. You have well developed analytical and problem-solving skills. The candidate should have very good knowledge of the English language, such as written and oral skills since communication is
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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. This postdoctoral project aims to elucidate the role of regenerative immune cells in driving endometriosis, and to develop novel immunotherapies for the treatment of this disease. The work will involve in vivo
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and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance. Description of the project The position
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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suffer from premature ageing. Lithium plating (LiP) is a dominant ageing mechanism and can cause internal short circuits, particularly during fast charging. The project aims to develop a safer, faster, and
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and develop on a planet under pressure. The Centre is a collaboration between Stockholm University and the Beijer Institute of Ecological Economics at the Royal Swedish Academy Sciences. We bring people
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seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science
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coordinate the development of secondary cell walls in growing trees. The project revolves around partially redundant, poorly understood gene families acting in wood formation. Specifically, the successful