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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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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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research in this area. Qualifications Research will focus on signals in the physical layer and is expected to use methodology from communication theory, wave propagation, signal processing, and electronics
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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
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. AMBER is funded by the EU Marie Sklodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has six core partners
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Description of the workplace The position is placed at Solid State Physics at the Department of Physics, a division with around 100 employees where extensive research is carried out centered