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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
—such as exhibitions, workshops, or serious games, but by no means limited to these Participating in academic events and contributing to publications and public engagement Actively participating in
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assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
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nanoscience. Our community has an open and informal character with students and staff from around the world. The position we offer will be based at the research unit Integrated Research on Energy, Environment
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the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a postdoctoral researcher, supervised by Dr. Maximilian
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and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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national ‘Gravitation programme’ relating to neuroimaging, is a member of the ERC Scientific Council and acts as a figurehead for Brains, Cognition and Behaviour, which is part of the Dutch National Research
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), the interdisciplinary hub on digitisation and society (iHub), and the AI department. This postdoctoral position is funded by a Vici grant awarded to PI Dingemanse and will be embedded in the ’AI: Language and
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used