160 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Netherlands
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- 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
- Delft University of Technology (TU Delft); yesterday published
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- Eindhoven University of Technology (TU/e); Published today
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sciences, such as programming, machine learning, and natural language processing. The Business Analytics Section is seeking a lecturer with expertise in Applied Artificial Intelligence, focusing
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30 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Environmental science
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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
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an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and
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from blood and redirected toward cancer antigens via gene-engineering with chimeric antigen receptors (CARs) or T cell receptors (TCRs). CAR-T cell therapy has elicited profound responses in
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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
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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
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https://www.academictransfer.com/en/jobs/356112/postdoc-specialist-validation-o… Requirements Specific Requirements This is not a standard role, and we are looking for a unique individual who thrives
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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
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science