Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Radboud University
- University of Twente
- Utrecht University
- Delft University of Technology (TU Delft)
- Leiden University
- CWI
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- Wageningen University and Research Center
- ; Max Planck Institute for Psycholinguistics
- Amsterdam UMC
- Eindhoven University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Radix Trading LLC
- Tilburg University
- Universiteit van Amsterdam
- 11 more »
- « less
-
Field
-
intelligence, or a related discipline. You have a strong interest in performing foundational algorithmics and machine learning research. You have mature mathematical knowledge and programming skills (e.g
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
-
adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases and in particular the complications encountered in photometric
-
learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University
-
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) is looking for a: PhD Candidate on Exploring Pareidolia in Computer Vision to Enhance Interpretability
-
(+/–) applied to the electrodes can be optimised in a machine-learning approach to optimise the gel morphology and the embedded stimuli-transduction pathways towards the targeted mechanical behaviour. Departing
-
statistical methods; will seek out and learn new methods to better solve problems > Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems > Constantly questions
-
implications. This PhD project offers a unique opportunity to work in an international environment in one of the biggest International Relations Department all over Europe and to acquire valuable research and
-
one of the biggest International Relations Department all over Europe and to acquire valuable research and teaching experience. The two main supervisors of the PhD project are Matteo CM Casiraghi and