212 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral research jobs in Netherlands
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- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Tilburg University
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- University of Twente
- European Space Agency
- University of Amsterdam (UvA); Published yesterday
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- University of Amsterdam (UvA); Published today
- Amsterdam UMC
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus University Rotterdam (EUR)
- Maastricht University (UM)
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- Leiden University; Published today
- University Medical Centre Groningen (UMCG)
- University of Groningen
- University of Groningen; Published yesterday
- Wageningen University and Research Center
- AcademicTransfer
- Amsterdam UMC; Published today
- Amsterdam University Medical Center
- Delft University of Technology (TU Delft); Published 21 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Published yesterday
- Eindhoven University of Technology (TU/e); today published
- Erasmus University Rotterdam (EUR); today published
- Leiden University Medical Center (LUMC)
- Maastricht University (UM); 16 Oct ’25 published
- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); Published today
- NIOZ Royal Netherlands Institute for Sea Research
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Royal Netherlands Academy of Arts and Sciences (KNAW); 17 Oct ’25 published
- The Netherlands Cancer Institute
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Published today
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University Medical Centre Groningen (UMCG); Published today
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 7 Nov ’25
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Published today
- University of Twente (UT); Published today
- Vrije Universiteit Amsterdam (VU); Published 21 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
- Vrije Universiteit Amsterdam (VU); today published
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support to the Head of Division on this topic. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Your tasks and responsibilities will be
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approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
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of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients
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transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The objectives for this position are to: Formulate synthetic cells with
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needed. You have experience in advanced bioinformatic analyses of omics datasets, preferably single cell and/or long read RNAseq data. Demonstrable experience in advanced machine learning and/or high
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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 have a strong desire to keep up with and be
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of the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and
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(DSO) to resolve local congestion issues. The design of such an edge decision-making platform requires an understanding of distribution systems operation as well as machine learning and optimization
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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timescales—through 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