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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Eindhoven University of Technology (TU/e); Published yesterday
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- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University of Amsterdam (UvA); 10 Oct ’25 published
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- University of Amsterdam (UvA); Published yesterday
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strategies for programming, modeling, and integrating reconfigurable/spatial architectures, such as FPGAs and ML accelerators, within heterogeneous ICT ecosystems. Reconfigurable and Spatial hardware, such as
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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particular interests and strengths. Your team Your main supervisor will be Matthijs Vákár . You’ll also be supported by secondary supervisors who are experts in machine learning, chosen to match your profile
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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Patient-derived organoids are the hallmark of personalized medicine with seemingly endless possibilities to match the right treatment to the right patient. As organoid data are often longitudinal in
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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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-cities in Asia and Africa, and suggest (if possible) solutions to ameliorate bad air quality during the fire season. You will combine the Dutch air-quality model LOTOS-EUROS with satellite observations, in
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
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 Positive tipping points
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loading environment. Manufacturable in biocompatible materials such as titanium. Leveraging mecial imaging, you will extract patient-specific loading conditions, build high-fidelity finite element models
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management