150 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- European Space Agency
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- Leiden University; 's-Gravenhage
- NIOZ Royal Netherlands Institute for Sea Research
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- Tilburg University; Tilburg
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- Maastricht University (UM); Maastricht
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- Princess Máxima Center for Pediatric Oncology
- Princess Máxima Center for Pediatric Oncology; Utrecht
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radboud University; Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Netherlands Cancer Institute
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- University of Groningen; Groningen
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research; Wageningen
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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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Netherlands Application Deadline 30 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Netherlands Application Deadline 27 Oct 2025 - 23:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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provides an excellent environment to publish, expand your professional network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD
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approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI, members of the Strategic Communication group, and another PhD student who is
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stakeholders in the port area. It will contribute to creating a shared vision of a sustainable water system in the port area, to understanding its SETS dynamics, as well as identifying bottlenecks and feasible
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
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, Linguistics and Media and Journalism Studies. For this role, we are looking for someone who: Has a PhD degree in any area related to the tasks (e.g. Computer Science, Digital Humanities, or Information