37 machine-learning "https:" "https:" "https:" Postdoctoral research jobs in Netherlands
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- Delft University of Technology (TU Delft)
- European Space Agency
- University of Amsterdam (UvA)
- Radboud University
- Tilburg University
- Eindhoven University of Technology (TU/e)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Delft University of Technology (TU Delft); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); today published
- Leiden University
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- Max Planck Institute for Psycholinguistics
- The Netherlands Cancer Institute
- University of Amsterdam (UvA); Published today
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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of machine learning (ML) and quantum many-body physics. We are also happy to work with experts in one of the two fields who are committed to learning the other. Moreover, we look for interest in developing
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, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion/transformers), multimodal representation learning, and experience in
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natural selection acting on genes, developmental experiences, and learning in context. To illustrate, animals might exhibit anxiety in the absence of immediate threat when encounters with those threats (e.g
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(PHM) for aerospace operations and maintenance, with strong expertise in sensor fusion, stochastic modeling, and machine learning. Your role: Design, build, and commission a laboratory test bench for
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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
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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-based and machine-learning approaches), the digital twin will provide decision-makers and industry stakeholders with actionable insights about when, where, and how corrosion risk evolves. As a postdoc
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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electron ground states. Another promising route towards physical implementations of energy-based machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour