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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact
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and endolysosomal mechanisms; and (3) theoretical and computational neuroscience, including models, algorithms, or theory that probe mechanisms of neural circuit function across levels of biological
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Cancer Institute seeks a Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Computational Biologist will work on the analysis
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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Number: R153428 Research Technician to work under guidance from the Principal Investigator (PI) to develop and implement image analysis algorithms; assists with application of image analysis tools
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA
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Framework Programme? Not funded by a EU programme Reference Number 2026-2027_1_155 Is the Job related to staff position within a Research Infrastructure? No Offer Description Debugging navigation algorithms