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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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electronic properties of material candidates 4. Use Quantum Monte Carlo and/or renormalized spin wave theory to estimate magnetic ordering temperatures 5. Interact collaboratively with the experimental groups
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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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Are you passionate about using data and AI to improve human health? Join us in tackling one of the biggest global health challenges of our time – antibiotic resistance. We are offering a three-year
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Description of the workplace Mathematics Centre has approximately 150 employees, including researchers, teachers, and doctoral students. The department offers education and research in a wide range
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in breath. The postdoc is part of a collaborative research project entitled ‘Blood, breath and bugs’ funded by the Carl Trygger Foundation. About the position The project aims at unequivocally
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experimental collaborators using different X-ray spectroscopy techniques. About the research project Aviation will in the foreseeable future require liquid fuels. There is currently a strong need to improve and