251 machine-learning-"https:" "https:" "https:" "https:" "U.S" PhD positions in Netherlands
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- University of Groningen; Published 28 Nov ’25
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- Radboud University Medical Center (Radboudumc); Published yesterday
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- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published yesterday
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to apply Website https://www.academictransfer.com/en/jobs/358013/phd-mainstreaming-nature-based-… Requirements Specific Requirements Knowledge, Skills & Experience (Essential): A Master in Urban Planning
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NExTWORKx, the strategic partnership between the telecom and ICT service provider KPN and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll
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universities and companies, within the National Growth Fund program Circular Batteries. Where to apply Website https://www.academictransfer.com/en/jobs/357796/phd-position-within-the-project… Requirements
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at the University of Twente. https://www.utwente.nl/en/techmed/facilities/bioengineering-labs/biomaterials-biomembranes/ About the organisation The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW
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Website https://www.academictransfer.com/en/jobs/357989/add-ream-3-phd-positions/apply/ Requirements Specific Requirements A Master’s degree in Mechanical Engineering, Materials Science, Industrial
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preferably have experience working with cyanobacteria Candidates should have excellent written and spoken English skills and be willing to acquire sufficient proficiency in Dutch Candidates are expected
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for heavy-duty trucks, busses, mobile machines, maritime and aviation applications, focusing on battery module design and battery management system design. The group will collaborate with the leading
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about everyone’s research project and try to help and learn from each other’s problems to boost our scientific and personal growth. We also enjoy many team-building activities and events where you will
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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
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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