371 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Sweden
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass
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following qualifications • Be following a university curriculum in Computer Science, Physics, Mathematics, Engineering, e-Sciences, or similar field and completed at least 120hp (equivalent to two year's
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. Documented research experience in antibody technology and computational biology studies. Good communication skills. Good collaborative skills, initiative and the ability to solve work tasks independently
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increasing both within Sweden and internationally. The Ancient DNA unit is a part of the strong research environment at the Department of Organismal Biology at Uppsala University and is integrated with
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, including the Teacher Education Programmes, the Sport Science Programme, the Human Resource Management Programme, the Behavioural Science Programme with a focus on IT environments, and the Police Education
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an international environment, surrounded by colleagues, with great opportunities to influence and develop. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from
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an international environment, surrounded by colleagues, with great opportunities to influence and develop. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Job description We are looking for a highly motivated postdoctoral researcher for a joint project between the
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Requirements for the position are: Bachelor’s or master's level education from natural or social sciences within relevant fields, e.g. sustainability science, geography, environmental science, computer science
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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30