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), Prof. habil. Oliver Ernst (TU Chemnitz, Germany), and Dr Youssef Marzouk (Massachusetts Institute of Technology, USA). The project aims to develop the next generation of Bayesian algorithms for large
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or interested in quantum algorithms, quantum optics, quantum resource theory, and semi-conductor/superconducting quantum computing are encouraged to apply. Points of contact with ongoing research programs in
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algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Software development of new
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pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: The development of new algorithms
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in localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members
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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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thermal systems, controls, or AI/ML applications Experience developing and deploying reinforcement learning algorithms for real-time control applications Experience with hardware-in-the-loop (HIL) testing
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imaging, and inverse problems. Your goal will not simply be to implement algorithms, but to turn cutting-edge imaging research into reliable, accessible and extensible software – and to develop new