249 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente
- University of Amsterdam (UvA)
- Wageningen University & Research
- Maastricht University (UM)
- Erasmus University Rotterdam
- Radboud University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- KNAW
- Leiden University
- Erasmus University Rotterdam (EUR)
- University Medical Center Utrecht (UMC Utrecht)
- Wetsus - European centre of excellence for sustainable water technology
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- ;
- University Medical Centre Groningen (UMCG)
- AMOLF
- DIFFER
- Delft University of Technology
- Eindhoven University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- RiboPro B.V.
- University of Groningen
- 20 more »
- « less
-
Field
- Computer Science
- Biology
- Economics
- Engineering
- Medical Sciences
- Mathematics
- Science
- Chemistry
- Arts and Literature
- Humanities
- Materials Science
- Sports and Recreation
- Social Sciences
- Education
- Linguistics
- Physics
- Psychology
- Business
- Electrical Engineering
- Environment
- Earth Sciences
- Law
- Philosophy
- 13 more »
- « less
-
PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
-
computational social choice; please visit https://algo.win.tue.nl/ for more details on the cluster. The cluster provides a lively and international environment for your research. As a PhD student, you do need
-
parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
1 year research visit to the Saarland Informatics Campus in Saarbrücken, Germany, where prof. Magliacane leads the newly founded Causal Machine Learning group. Tasks and responsibilities: invent
-
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
-
PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
Vacancies PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’ Key takeaways In high-stakes crises, strategic teams often aim to avoid errors at all
-
PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
-proof healthcare? This PhD position offers the opportunity to explore how interprofessional teams can use insights from the Epic electronic health record to learn together, improve care, and strengthen
-
needed of how these microtissues remodel and fuse their matrices as they grow, and how this is governed by their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools
-
, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good