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, and local healing systems. Analyse the geopolitical, ethical, and multispecies dimensions of One Health under the BRI. Contribute to project coordination, comparative synthesis, and multimodal
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, through digital participation platforms, algorithms for identifying safe and sustainable routes, multimodal mobility hubs, as well as interactive simulation and visualisation tools for designing urban
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Assistant Professor Positions in University Science Education Research: Learning Environments, Ex...
research at the intersection of learning, experience and design, focusing on creating environments, processes and systems that inspire creativity, nurture engagement and foster meaningful interactions in
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering and the Center for Interacting Urban Networks (CITIES) at New York
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. Requirements The successful applicant will hold, or expect to obtain shortly, a PhD in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Bioinformatics, or a related quantitative discipline
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
» Social anthropology Anthropology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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opportunity to advance the integration of machine learning with multimodal biological data (including genomics, neuroimaging, digital phenotyping, and clinical information) to address foundational questions in