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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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chemistry and Technical Chemistry. We are also a strong partner in the KBC, Chemical-Biological Center. Information about the postgraduate education can be found on the Faculty of Science and Technology
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-supervision from Professor Fredrik Tufvesson. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is
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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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for carbohydrate, lipid or protein analyses. Skills in computational biology or biological modelling. Experience working with cell walls from plants or other organisms. Be proactive and take own initiative
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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computational facilities for testing & modelling natural clays and access to data on natural slopes in Western Coast of Sweden. These state-of-the-art resources empower you to conduct cutting-edge research with
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observations of the upper atmosphere and ionosphere. The Swedish Space Corporation (SSC), with its facility Esrange, provides services and infrastructure for access to space. The Department of Computer Science
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems