58 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" PhD positions in Netherlands
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- University of Twente
- Radboud University
- Utrecht University
- University of Groningen; Published yesterday
- Erasmus University Rotterdam
- KNAW
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e)
- Radboud University Medical Center (Radboudumc); Published yesterday
- Delft University of Technology (TU Delft)
- Leiden University
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published yesterday
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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of the future, striving to improve healthcare and society as a whole. Where to apply Website https://www.academictransfer.com/en/jobs/356668/phd-in-machine-learning-for-dru… Requirements Specific Requirements
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16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer architecture Computer science » Computer hardware Researcher
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develop and maintain the software for this shared demonstrator vehicle. Job requirements Completed (or about to complete) a MSc degree related to any of: artificial intelligence, machine learning
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organized into 10 work packages (WPs): Six WPs focus on disciplinary perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in
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Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and across disciplines and organisations
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organizational skills. Experience with using machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it