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SPHERE You have a PhD degree in Artificial Intelligence, Computer Science, Applied Mathematics or in a related field You have at least 3 years of postdoctoral research experience or R&D experience in
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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the attached job pack. Duties of the Role You will undertake a PhD at the University of Essex and deliver DC15: “Nature-Inspired Optimization Strategies for Quantum Network Routing: Leveraging Decoherence
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tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics). Proven success as PI/co-PI or primary writer on large proposals (e.g., NSF/DOE/DoD/state/industry), and
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-of-the-art AI solutions (machine learning, reinforcement learning, optimal control, neuromorphic computing) that help bring the consortium forward in modelling and understanding biological intelligence