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activity to mouse behavior” (Program Coordinator Prof. Froudarakis) invites applications for one (1) motivated PhD student to assist with the understanding of the algorithm that the brain uses to identify
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in
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technology and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, psychophysics, deep learning or computer simulation are another advantage Job
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, contribute to the discussion with the end-users, energy communities, and municipalities. There would be close collaboration between the PhD students in this project and the technology providers as the outcomes
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. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific
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system operator, industrial partners, industrial flexibility technology providers, and an applied research institute. The PhD student will be involved in this project, will have the chance to participate
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
mentorship and tailored training. Professional growth is a priority, ensuring your success in academia. Job requirements A Master’s degree in a relevant field (e.g. Computer Science, Engineering, Policy
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academia. Job requirements A Master’s degree in a relevant field (e.g. Computer Science, Engineering, Policy Analysis, Economics, Environmental Science) with demonstrated proficiency in coding and/or
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the PortCall.Zero community, you will be joining an interdisciplinary and active team of PhD students and professors at the Maritime & Transport Technology department and Transport Engineering & Logistics section
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requirements MSc in Mechanical/Maritime/Aeronautical Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track