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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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learning, and generative AI - Design and implement algorithms for quantum-inspired and quantum-enhanced generative models - Investigate theoretical foundations of tensor networks, entanglement, and collapse
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et Matériaux de Poitiers (IC2MP) is a joint research unit between CNRS and the University of Poitiers, focusing on the design of sustainable reactions/products (https://ic2mp.labo.univ-poitiers.fr
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Additional Information Eligibility criteria You hold a PhD in physics, physical chemistry, materials science, or a related field. You have solid hands-on experience in material synthesis under inert atmosphere
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal is to design an experimental setup
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trips in France (1–2 days) may occasionally be required (e.g. visits to union sections, local or departmental unions). Support for the design and implementation of a questionnaire may also be required
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of Nantes), 1 engineer, 1 postdoc, and 5 PhD students. The team has recognized expertise in liquid xenon TPCs, both for fundamental physics experiments (XENON, DARWIN, nEXO, XeLab, XERD, XLZD) and for medical
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, Action and Perception (RAP) team (https://www.laas.fr/en/teams/rap/ ) at LAAS-CNRS, Toulouse, France. The research conducted in the RAP team focuses on the design, prototyping, implementation, and
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analysis, scientific computing, algebraic topology and non-linear analysis. The activities may include: The development of new polytopal numerical methods The conception of discrete complexes (de Rham and
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and AI to efficiently design safe systems. This is a postdoctoral position in the fields of AI planning, reinforcement learning (RL), and formal methods. The position is initially funded for 12 months