240 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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bacteria and plant. Project description We are hiring a PhD candidate to join our ERC-funded team on chronomicrobiology, a new field that bridges microbiology and chronobiology. The MicroClock program
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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encouraged. At the end of the PhD program the candidate will be an expert in at least one of the subfields of High Energy Theoretical Physics. While these topics are fundamentally of a theoretical nature, the
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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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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PhD position on reconstructing early to middle Eocene climate variability Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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PhD position Modeling modals: A computational study of modal verb acquisition (V25.0196) « Back to the overview Job description The Center for Language and Cognition Groningen is seeking a motivated
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Organisation Job description The Center for Language and Cognition Groningen is seeking a motivated PhD candidate in the fields of linguistics, computational linguistics, language acquisition, and
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footprints and enhanced functionality. As a PhD researcher, you will: develop and validate high-throughput experimental methods to assess food ingredient functional properties; apply machine learning
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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