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of open source software, open science, and software development tools such as version control. Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value
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methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization of performance targets such as efficiency
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. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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Karlsruher Institut fuer Technologie, one 3-month at Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD
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Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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approaches and optimization System dynamics modelling Energy system resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software