58 python "Computer Vision Center" "Computer Vision Center" PhD positions in Netherlands
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory
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will be part of both the Department of Mathematics at Radboud University and the Radboud Center for Natural Philosophy (RCNP) , where mathematicians, physicists, philosophers and historians work
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interdisciplinary research project exploring some of the most profound questions in modern science. As part of the Origins of Irreversibility team at the Radboud Center for Natural Philosophy, you will work
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About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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terms of employment are in accordance with the Cao University Medical Centers (UMC). Department You will be based in the laboratory of Dr. van den Broek within the Center for Translational Immunology (CTI
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 12 hours ago
birth of the universe or the functioning of the brain. The Institute of Physics (IoP) of the University of Amsterdam is located in the center of the Amsterdam Science Park. The IoP – as part of the
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underrepresented groups to apply: We genuinely value diversity and believe that a diversity of talents contributes to our vision and strategy to excel as a university on research and education. ESPhil
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have a master’s degree in computer science, data science, computational science, AI, or a closely related field, with excellent marks. You should have documented experience with machine learning, bias
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; Knowledge on handling large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into