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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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. The candidate will work on several collaborative projects and funding proposals related to the research areas of focus at the HARP lab including cybersecurity, privacy, artificial intelligence, risk, trust, and
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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Qualifications PhD Certificates/Credentials/Licenses n/a Computer Skills Microsoft Office Suite Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct
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position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research Ireland within the School of Computer Science and Information Technology and this position
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the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence
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according to required / additional qualifications and interview The results of the selection will be announced on the ELKE-UOC website: https://www.elke.uoc.gr/news Candidates have the right to submit
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research