374 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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- Vrije Universiteit Amsterdam (VU); Published today
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- University of Groningen; Published 28 Nov ’25
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- DIFFER; Published yesterday
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- Delft University of Technology (TU Delft); yesterday published
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- Eindhoven University of Technology (TU/e); yesterday published
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- Max Planck Institute for the Study of Crime, Security and Law; Published yesterday
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc); Published today
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- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University of Amsterdam (UvA); Published 14 Nov ’25
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Twente (UT); today published
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- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
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companies in living labs, contribute to workshops and consortium meetings, and help ensure that your results are usable in practice (not only published). Where to apply Website https
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the response model from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques
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at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour work week. Pension scheme via ABP, 8% holiday allowance
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matters of scientific urgency. Where to apply Website https://www.academictransfer.com/en/jobs/357678/phd-position-in-project-mechani… Requirements Specific Requirements We look for an enthusiastic
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guidelines ). Only complete applications received within the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/357878/phd-position-in
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the Microbial Physiology team under supervision of Assistant professor, Dr. Martijn Diender and co-supervision of Prof. Dr. Diana. Z. Sousa. Where to apply Website https://www.academictransfer.com/en
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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number of detectors and connect the large number of required optical fibers to the quantum computer, a strict bottleneck in the number of electrical interconnects between the cryogenic photon detectors and
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the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab
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, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced