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Field
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for this position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in collaboration with Brookhaven Lab staff, the Department of Energy (DOE), and
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Requirements Master’s degree (≥4 years) in Computer Science, Informatics, Engineering, Mathematics, Physics or equivalent; PhD in Computer Vision, Artificial Intelligence, Machine Learning, and Data Science, or
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machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common
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28 Oct 2025 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD
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the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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for Artificial Intelligence. https://miai.univ-grenoble-alpes.fr/ Activities Develop and evaluate deep learning tools for MRI fingerprint data Write scientific articles Present results at international conferences
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Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL-ECO project. Where to apply Website https://www.academictransfer.com/en/jobs/354943/phd-in-simulators
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methodologies, including the manipulation and processing of satellite imagery and data from equivalent remote-sensing platforms (e.g., UAVs), as well as the development of machine-learning approaches to enhance
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured