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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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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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focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific application areas of focus
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the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) division which gathers around 40 researchers working on different aspects of the pathogenesis of Multiple Sclerosis (MS) and other neurodegenerative
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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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and fermion quadrupling condensates, the project is a part of a large theory-experiment collaboration https://kaw.wallenberg.org/nytt-materietillstand-med-unika-egenskaper An example of one
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the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated (at compile-time) to evaluate
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collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all