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Field
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emotion safety is crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep
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-resolution metagenomics and work with population genetics theory. This will cumulate in a new understanding of host-microbial interactions through acclimatization and adaptation, that will be validated in
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for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The fundamental vision of RAI is aiming in closing the gap
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
perform analysis, requiring to work closely with them, to design relevant features in our algorithms and adapted interfaces for interaction. 3. Position description This PhD project aims to develop Computer
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doctoral programme is designed to train world-class researchers in Strategic Management and Entrepreneurship, with a strong emphasis on quantitative methods. We combine in-depth knowledge of key topics in
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Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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, Antonia Krefeld-Schwalb, Anne Klesse, Bram Van den Bergh) in the domain of reinforcement learning, deep learning, causal inference, field experiments, consumer behavior, human-AI interactions, behaviorial
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for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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Job description The exponential increase of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination