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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
30 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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We are looking for 5 motivated postdocs to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering. You will contribute
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SUSMAT - Post-Doctoral Fellow Positions in Development of Multifunctional Hydrogels for Agricultural
Deadline 23 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular
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Application Deadline 4 Sep 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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, completion deadline); and (c) learning from human feedback, e.g., imitation, inverse RL, RLHF, and interactive/intervention-based learning, so that robot behaviour remains aligned with human intent under
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-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular
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quantum computing architectures. In addition to leading and contributing to research projects, the successful candidate will assist in developing competitive grant proposals, preparing technical reports and
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. The project explores novel communication, sensing, and data-driven techniques to support safer and more adaptive interactions among heterogeneous road users. The research will be carried out under