449 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Sweden
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version for all bachelor programmes) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in cybersecurity. You will be part of the team that teaches in our
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programme, applicants must have: A Master’s degree (or equivalent); Completed at least 240 ECTS credits, including at least 60 ECTS credits at the Master's level; At least 90 ECTS credits in Economics; At
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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infrastructures that integrate microbial biodiversity, advanced genomics, fermentation science, and digital innovation. MIND, Microbial & Data-Driven Food Innovation Hub, is being established as a national
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for Clinical Sciences Lund University in Malmö. The group consist of 3 PhD students, 2 postdocs and does research on various aspects of anesthesia and intensive care. The group is headed by associate professor
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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plant research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular
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Information Technology conducts broad research in cryptography, computer security, wireless and wired networks. The Security Group has around 20 members. The main research areas are cryptography, privacy, and
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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Sciences, Mathematics, Computer Science, or Engineering, or demonstrably equivalent qualifications and experience Minimum three years’ experience in a data intensive discipline demonstrating a proven role in