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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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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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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-inspired assistive
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trends and results, as input to the strategic planning of the Agency. The team has been at the forefront of research in differentiable programming and intelligence, particularly in its applications in
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application but must be completed and defended no later than November 2025 (position start date is January 2026); PhD in political science, international relations, security studies, computer science, data
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of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in computer science, AI, mathematics, or a related discipline, with a research track record in computational
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Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in
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an interdisciplinary team of project partners from the Dutch MedTech industry. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University
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for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in
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relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable