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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings
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, the city offers a dynamic and international environment that blends tradition with innovation, making it an inspiring place to live and work. For more information about the Mathematical Institute, see https
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» Mechanical engineering Mathematics » Applied mathematics Physics » Computational physics Physics » Other Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 6 Dec 2025 - 22
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will be determined in collaboration with you based on your strengths and interests, but could for instance involve developing new techniques for efficiently optimizing quantum computations, both in
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both