590 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Netherlands
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, particularly integer programming, e.g., vehicle routing and packing problems and heuristics; simulation; data-driven modelling; decision support systems; AI (reinforcement learning, machine learning). Motivation
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explore innovative uses of Artificial Intelligence/Machine Learning, neuromorphic computing, and photonic architectures to enable robust, intelligent, and reconfigurable networks capable of operating in
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the potential of land use management to contribute to sustainable future development pathways. Your work is, focussed on the use of innovative spatial methods and models. Together with colleagues you teach
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required. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship Within the Strategic Initiatives Team, you will contribute to: Conducting strategy
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Intelligence (AI) and machine learning. We seek a scholar with interests and expertise in advancing the science and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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details https://www.mbnresearch.com/MS-RADAM/DC-research-projects https://www.rug.nl/research/gradschool-science-and-engineering/ Work Location(s) Number of offers available1Company/InstituteUniversity
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture
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at the intersection of military readiness and corporate operations. Defence capability development in Europe and European defence industry. Conduct independent empirically driven and comparative case-study focused
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opportunities for co-developing multispecies governance approaches with representatives of governance bodies and identifying ways to transform towards them. Finally, we will synthesize our learning across cases