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Field
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is pivotal to support complex decision-making. Through close collaboration with projects stakeholders, you will contribute to the development of data exchange protocols for Digital Product Passports
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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-quality methods for complex, secure, and safety-critical systems. It leads a range of national and European projects and maintains strong partnerships with industry. You will benefit primarily from
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the computational science community. We empower researchers to tackle some of the most complex global challenges through our unique blend of supercomputing resources and computational science expertise. The ALCF is
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Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We
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. Job description Robotic systems are rapidly moving out of controlled laboratories and industrial settings and into dynamic, socially complex professional environments. To be widely adopted, they must
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. Job description Robotic systems are rapidly moving out of controlled laboratories and industrial settings and into dynamic, socially complex professional environments. To be widely adopted, they must
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researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
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the robot/swarm functions between the human operator and a continuously learning robot intelligence. Two key applications will be examined: 1) a swarm of drones performing complex manoeuvres, and 2) robotic
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of Luxembourg, the Greater Region, and beyond. Nearly all research projects are supported by a network of national and international partnerships, several with public or industrial stakeholders. At the University