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following criteria: a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related field; strong hands
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, computational life sciences, mathematical biology, mathematical economics, medical and seismic imaging, theoretical computer science, and theoretical physics. We participate in university focus areas in
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mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a strong
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monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve the development of the computer model for flux quantifications, and the validation of the model
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candidates with: An MSc degree in (or nearing completion of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a
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at the start of the position, provided they demonstrate a willingness to learn and adapt. A Master's degree (completed or expected by September 2026) in Computer Science, GIScience, Geoinformatics
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responsibility of the PhD position advertised here will mainly involve the development of the computer model for flux quantifications, and the validation of the model against laboratory experiments
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PhD: Mixing in turbidity currents in experiments and submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 2
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with