53 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at Linköping University in Sweden
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. More information about the research environment and workplace can be found here: https://liu.se/en/research/laboratory-of-organic-electronics/organic-energy-materials The employment This post is a
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of machine learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/organisation/liu/ida/stima . Linköping University is
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through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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. A successful candidate should have very good knowledge in quantitative methodology and related analysis tools, in particular very good knowledge in analysis with registry or survey data from various
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce inference and deployment costs
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studies. In connection with your admission to the doctoral program, your employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at Doctoral studies
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uncertainty in the available information into account. This research is interdisciplinary and comprises everything from mathematical models, algorithms and implementations to clinical evaluation and