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- Delft University of Technology (TU Delft); Published yesterday
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- University of Amsterdam (UvA); Published today
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- Amsterdam UMC; Published yesterday
- Delft University of Technology (TU Delft); Published 21 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Published today
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- Maastricht University (UM); Published today
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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture, electromyography
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applications. These smart winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active thermal control for real-time configuration adjustments
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. Based on these insights, you will formulate design rules to predict optimal loading conditions and release mechanisms, supporting experimental optimization. We expect you to be able to work with a high
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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/ ). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine
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therefore provide additional diagnostic and prognostic insight. This project focuses on validating the presence of occipital Aβ burden, developing the optimal approach for assessing amyloid-PET signal in
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental