Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- University of Twente (UT)
- Tilburg University
- Erasmus University Rotterdam
- Utrecht University
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- Leiden University; today published
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- AcademicTransfer
- Amsterdam UMC
- Delft University of Technology (TU Delft); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- Leiden University; Published today
- Wageningen University & Research
- DIFFER
- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); Published today
- Erasmus MC (University Medical Center Rotterdam); today published
- Leiden University; yesterday published
- Max Planck Institute for Psycholinguistics
- Microflown Technologies
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc)
- The Netherlands Cancer Institute
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published today
- University of Groningen
- University of Twente
- Vrije Universiteit Amsterdam
- 33 more »
- « less
-
Field
-
PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Infrastructure? No Offer Description Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description
-
developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
-
30 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Environmental science
-
stimulating, interdisciplinary environment. develop and validate machine learning models to extract digital biomarkers for atypical parkinsonism from real-world wearable sensor data. interpret findings in close
-
://www.universiteitleiden.nl/en/science/mathematics . What you bring The successful candidate is expected to have: A master in statistics, (applied) mathematics, machine learning or a closely-related quantitive discipline (to
-
integration and knowledge representation (e.g. FAIR data, semantic interoperability, ontologies, knowledge graphs); Machine learning and generative AI for health (e.g. multimodal patient modeling, predictive
-
to: Development of computer models of the musculoskeletal system incorporating neural control pathways Train NMS model control policies via RL Your seconday tasks will include: Using learned NMS model control
-
strong background in machine learning, computer vision, or data-driven modeling. You have extensive experience in the development and implementation of AI and machine learning algorithms, ideally with
-
FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
-
subpopulations, as well as (plastic) cancer cell states that contribute to tumor progression, metastasis and therapy resistance. The candidate will lead several projects applying machine learning to (single-cell