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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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, 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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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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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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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
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processing, information and communication theory, machine learning, complex networks, and optimization. The employment This employment is a temporary contract of two years with the possibility of extension up
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational