252 Computer-Science-"https:"-"https:"-"https:"-"https:" "https:" "CNRS" PhD positions in Netherlands
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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deficiencies in the current understanding of indirect-noise generation, especially as it relates to hydrogen-fueled systems, Computational Fluid Dynamics (CFD) will be used. Initially, numerical analyses will
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about how private-sector actors can support and scale water-smart change, including through credible incentive and financing mechanisms. The position You will join the Water Footprint in Action programme
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model electrical and optical inputs and responses for energy-efficient computing as a proof of concept. What sets this opportunity apart: World-class facilities: Conduct your research at the University
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of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce
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and scientific excellence are valued. The group works closely across fluid mechanics, soil mechanics, hydraulic engineering and ocean engineering, using various computational and experimental techniques
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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Engineering, visit rug.nl/fse . The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering at
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MSc Degree in Aerospac.e Engineering or Aeronautical Engineering, or an MSc Degree in Mechanical Engineering, (Applied) Mathematics or Computer Science with an affinity for aviation and Air Traffic
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning