Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leiden University
- University of Groningen
- CWI
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Leiden University; Leiden
- Radboud University
- University of Twente
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Maastricht University (UM)
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Utrecht University
- Wageningen University & Research
- 13 more »
- « less
-
Field
-
The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years
-
Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
-
Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and machine learning. Job description Soft matter such as polymers and hydrogels
-
team of experienced researchers in imaging, machine learning, oncology, and pathology. We do not discriminate on the basis of sex, gender, belief, culture, place of birth or occupational impairment when
-
supervised by experts in combinatorial optimization, machine learning and fairness-awareness in algorithmic decision support, and the Eurotransplant headquarters in Leiden, where access to the domain expertise
-
for the project team. We are looking for a student with a strong background in at least one of the following subjects: statistics, machine learning, discrete optimization, operations research. A strong interest in
-
Interventions Our goal: To make digital health interventions more effective by predicting and improving adherence through Artificial Intelligence (AI) and machine learning (ML). Your colleagues
-
predicting and improving adherence through Artificial Intelligence (AI) and machine learning (ML). Your colleagues: An interdisciplinary team of scientists working across Maastricht University and FH Joanneum
-
8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
-
analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc