196 parallel-computing-numerical-methods "Institute of Computer Science" PhD positions in Sweden
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The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational
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. In this effort, we use and develop theory, statistical methods, and numerical models in close interplay with observations. We also develop and lead observational research using remote-sensing and in
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short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the
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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking
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research environments within the domain of computer science, digital media, HCI, or similar Technical skills to build of interactive media such as games, apps, or XR experiences with game engines
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advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and
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research and evaluation projects focused on user and citizen benefit. The eHealth Institute collaborates with a wide range of external partners, including regions, municipalities, research institutes
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. In this effort, we use and develop theory, statistical methods, and numerical models in close interplay with observations. We also develop and lead observational research using remote-sensing and in
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. Your tasks are to: - develop coupled thermo-hydro-mechanical numerical models to simulate hydrogen injection, storage and withdrawal; - evaluate the effects of operational loading on the integrity of
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Doctoral student in Medical Science - Predicting treatment toxicity in childhood cancer Reference number PAR 2026/728 The University of Gothenburg tackles society’s challenges with diverse knowledge