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Field
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environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field
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of the defining challenges of the coming decade, and it is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
and D. J. C. Mackay, “Low density parity check codes over GF(q)”, Information Theory Workshop, 1998, pp. 70-71. [11] D. Declercq and M. Fossorier, “Decoding algorithms for nonbinary LDPC codes over GF(q
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methods and theory for analysing time-to-event data when a fraction of the population is immune to the event of interest (‘cured’). For example, in oncology the event of interest is cancer relapse/death
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition
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no less than 5.5 in any band or equivalent). How to Apply Applicants should upload information via Birmingham’s Mechanical Engineering PhD portal here: https://www.birmingham.ac.uk/study/postgraduate
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or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR7325-VALSEV-164
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to provide reliable predictions and support effective decision-making. The aim of the PhD project is to address these gaps by developing theoretical and computational tools that combine game theory, graph
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is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and information theory: designing and analysing
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. Research area The present position is part of the European Research Council (ERC) Starting Grant project “High-Efficiency Thermal Energy Harvesting via Ionic Thermoelectric–Electronic Bridging (HEAT-BRIDGE