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and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer
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to topics such as natural language processing and machine learning; computational social science; human-AI collaboration and societal impacts of AI; or AI safety, governance, policy, and cybersecurity. All
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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, interaction design, Human-Computer Interaction, human-centred AI, UX research, immersive or interactive media, and other related areas. Teach and supervise topics in the Bachelor’s and Master’s programmes in
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face-to-face, hybrid, or online delivery formats. We are seeking excellent teacher-scholars who can teach the department’s foundation courses as well as courses in the graduate program, including