Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- University of Twente
- CWI
- Leiden University
- Radboud University
- Utrecht University
- ; Max Planck Institute for Psycholinguistics
- Erasmus University Rotterdam
- Radix Trading LLC
- Universiteit van Amsterdam
- Wageningen University & Research
- Wageningen University and Research Center
- 2 more »
- « less
-
Field
-
UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning
-
of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
-
Vacancies PhD ESG-Based Decision-Making for Customer Portfolio Management Key takeaways Insurance companies play a key role in financial markets—not by generating direct monetary value, but by
-
Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
-
University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
-
PhD Position in Algebraic Geometry Faculty: Faculty of Science Department: Department of Mathematics Hours per week: 36 to 40 Application deadline: 7 July 2025 Apply now Join our dynamic
-
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
-
Vacancies PhD position on Stochastic Operations Research in Medical Laboratories Key takeaways This PhD position offers you the opportunity to join an interdisciplinary team of researchers
-
inventory, a major incentive for the project is the application and adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases
-
networks, or network science, and relevant background knowledge on methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods