423 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) is looking for a: PhD Candidate on Expressivity of Imperative Programs (1.0 FTE) The semantics
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fascinated by how the brain predicts the world around us? Join the cutting-edge NWO-funded project ‘DBI2’ as a PhD candidate and help unravel how the brain encodes prediction errors. Work at the interface
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Website https://www.academictransfer.com/en/jobs/350125/phd-candidate-in-causal-learnin… Requirements Specific Requirements You are/ You have: a MSc degree in statistics, machine learning, data science or a
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented 2 PHD-STUDENTS IN NEUROAI OF DEVELOPMENTAL VISION (M/F/X). Job description The Curriculum
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groundbreaking opportunities in nanomedicine, adaptive materials, and self-healing systems. This PhD project, part of the NWO-XL collaborative initiative "Joining Forces for Human-Made Molecular Machines," focuses
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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a PhD in Computational Imaging for Cultural Heritage (1.0 fte) As a PhD
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PhD Towards Human-Made Molecular Machines: Functional DNA-Rotator Motors (V25.0077) « Back to the overview Job description Molecular machines are essential for biological processes such as molecular
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PhD Candidate: Photonics Technologies for Biofabrication Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 36 Application deadline: 13 June
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UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning