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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- Delft University of Technology (TU Delft); 26 Sep ’25 published
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- Delft University of Technology (TU Delft); Published yesterday
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- Princess Máxima Center for Pediatric Oncology; Utrecht
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- University Medical Center Utrecht (UMC Utrecht); yesterday published
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dimension of uncertainty in power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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), which brings together experts from TU Eindhoven and University of Amsterdam, along with industrial partners ASML, Flow Matters, and Carbyon. Your work in this project will be to develop state-of-the-art
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power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have been adapted for quantum
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
for defect detection and process optimization of tissue constructs (based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management
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immune monitoring panels measured in large patient cohorts, we want to make an inventory of current panels and results, and develop the most optimal panels for each of the different research questions
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Advancing hydrogen aviation: optimize compressor design of the air supply system to boost fuel cell poweetrain efficiency and reliability. Job description To reduce greenhouse gas emissions in
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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together experts from TU Eindhoven and University of Amsterdam, along with industrial partners ASML, Flow Matters, and Carbyon. Your work in this project will be to develop state-of-the-art generative AI
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance