81 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 17 August 2025 Apply now How and why did
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in cyber security, computer
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start with the Hip Hop and Urban archive, has produced a first season of a podcast on Hip Hop in the Netherlands, and the PhD researcher has published (peer reviewed) articles on Dutch Hip Hop and
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to involve the postdoctoral researcher in the supervision of a PhD-candidate, and we encourage and facilitate publishing and attracting research funding beyond the involvement in PERSIST. In short, we try to
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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio
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/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
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Apply now We are offering a full-time, three-year Postdoc position as part of the Dutch Research Council external link (NWO) ENW-XL programme. You will join the Levato research group at the Regenerative
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven