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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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multilingual AI, Translation quality evaluation using AI Teach undergraduate and postgraduate courses in Computational Thinking, Machine Learning and Natural Language Processing (NLP) for translators, LLM and
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/Planning Internal Number: 6832149 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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for an FWO PhD scholarship to further develop the initiated research (if eligible). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system
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Environmental science » Earth science Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 31 Jan 2026 - 23:59 (Europe/Tallinn) Type of Contract
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 10 hours ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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, including supervision degree projects and doctoral students. Qualification requirements Appointment to a postdoctoral position requires: A PhD (or equivalent) in fluid mechanics, mechanical engineering