392 machine-learning-"https:" "https:" "https:" "RAEGE Az" PhD scholarships in Netherlands
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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Published yesterday
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- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); today published
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Vrije Universiteit Amsterdam (VU); Published today
- Amsterdam UMC
- Leiden University; yesterday published
- University of Groningen; Published yesterday
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); yesterday published
- University of Amsterdam (UvA); Published today
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Eindhoven University of Technology (TU/e); Published today
- KNAW
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Published yesterday
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published yesterday
- University of Groningen; Published 28 Nov ’25
- CWI
- DIFFER
- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); Published yesterday
- Erasmus University Rotterdam (EUR); yesterday published
- Leiden University; today published
- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); Published today
- Maastricht University (UM); Published yesterday
- Maastricht University (UM); today published
- Max Planck Institute (MPI)
- Max Planck Institute for the Study of Crime, Security and Law; Published yesterday
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc); Published today
- University Medical Center Groningen
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University Medical Center Utrecht (UMC Utrecht); today published
- University of Amsterdam (UvA); 10 Oct ’25 published
- 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 Amsterdam (UvA); yesterday published
- University of Twente (UT); today published
- Utrecht University; Published yesterday
- Utrecht University; today published
- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
- Wageningen University & Research; today published
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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limited. To learn from past warmer climates and better understand the link between climate and extremes, we can use proxy-based climate reconstructions and climate models for past warmer climates. However
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and scalable. Design and build a technology demonstrator prototype of clinical-testing grade. Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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of writing; You have an interest in / affinity with colonial history and languages; You have experience with or are willing to learn about early modern archival sources; You have full professional working
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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