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Field
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beyond the Standard Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine
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or artificial intelligence; • A good team spirit and willingness to collaborate; • Very good command of the English language. These skills would be an advantage: • Experience with Lagrangian transport
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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awareness. We welcome applications from recent PhD graduates in relevant areas, such as artificial intelligence and natural language processing. An ideal candidate will have a strong technical background in
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research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one
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familiarity in machine learning (ML) and artificial intelligence (AI). This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial