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will be an advantage to your application to have experience with some of the following: Prior experience in reinforcement learning, active perception, and sensor fusion for autonomous navigation
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“STOREDGE”. You will be part of a very dedicated team with a senior project manager and several more PhD and postdoc researchers, focusing on cutting-edge and applied research to address the challenges
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including PhD students and postdocs. Also, a good sense of humor will be appreciated. Good English language skills will be required. The main criterion for selection will be the research potential
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, pedestrian-autonomous vehicle interactions and pedestrian wayfinding, Support data collection efforts involving the use of immersive virtual reality technologies and neurophysiological sensors (e.g. to gather
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within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous
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science. The section comprises three PIs and approximately 25 PhD students and postdocs. Qualifications Good communication skills in English, both written and spoken. Be able to work independently and take
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Job Description We are seeking candidates for a 3-year PhD project as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Consumer Energy Demand Flexibility in Electricity Use
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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, encouraging creativity, diversity, and teamwork. You will have great opportunity to build strong networks with internationally renowned researchers at DTU and other universities as well as industrial partners
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, cross-disciplinary, and international research environment at DTU Aqua in Lyngby. We currently have a group of about 20 early-career scientists (PhD and Postdocs) working on various aspects of marine life