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                Employer- Delft University of Technology (TU Delft)
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                Collider? We look forward to your application! As a PhD candidate, you will conduct fundamental research in experimental particle physics, perform data analysis and develop object reconstruction algorithms 
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                require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient numerical methods and strategies to solve the electromagnetic 
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                opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools 
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                the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from 
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                30 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Mathematics » Algorithms Mathematics 
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                algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine learning is also desiered. TU Delft (Delft University 
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                have more realistic simulations. Supply and demand levels are intimately intertwined. While the chosen design has a significant effect on the most important aspects of users’ experience, the algorithms 
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                : questionnaires on healthcare and patient outcomes, qualitative data on patient experiences, improved diagnostics using innovative laboratory methods, development of pathophysiology-based treatment plans 
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                . Experience working on inversion problems (e.g., MCMC type algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine 
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                on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit