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of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances of stochastic programming problems
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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https
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Research Infrastructure? No Offer Description Job description You will explore hardware/algorithm co-design for NeuroAI, simultaneously taking into account scalability inspired by modern AI workloads, as
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multidisciplinary team of clinicians, veterinarians, physicists, chemists, biologists, and engineers, combining expertise to advance the development of regenerative medicine solutions. Where to apply Website https
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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for biological imaging in general. The position is part of the Netherlands BioImaging Infrastructure (http://eurobioimaging.nl ) which is a nation‐wide multi‐sited facility that enables breakthrough in cell/life
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
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on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
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work with Dr. Anna Dawid and her research team. The position is set in the exciting, friendly, and interdisciplinary environment of the aQa (Applied Quantum Algorithms) group, which is a team of faculty
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learning algorithms for early damage detection, health indicator extraction, and remaining useful life prediction. The successful candidate will take a leadership role in experimental integration and data