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Full-time: 35 hours per week Fixed-term: 30th June 2026 Applications are invited for research associate positions in Algorithms and Complexity, funded by the European Research Council (ERC
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Design and apply deep reinforcement learning algorithms for online HVAC control in greenhouses and for data mapping with multi-robot systems. Implement and test algorithms in simulation and
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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robot using a robotic hand as an end effector. Core goals are generating robust grasp poses for a cube part with e.g. a learning-based algorithm, extending a heuristic-based search algorithm
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in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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development of model predictive control algorithms for autonomous robots. Key Responsibilities: Development of model predictive control algorithms for autonomous robots Job Requirements: A Master degree in
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tackles multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application