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Field
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generation ● Experience with retrieval-augmented generation, agentic or multi-stage workflows, or knowledge-integrated models ● A strong publication record in top-tier AI/NLP venues (ACL, EMNLP
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, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
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. The work will investigate how physics-based models, reduced-order representations, and data-driven approaches can be combined and embedded in MBSE frameworks to support early-stage architectural decisions
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23 Dec 2025 Job Information Organisation/Company Gulbenkian Institute for Molecular Medicine Research Field Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 7 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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: S. Aalto). In the project we use multi-wavelength techniques, including recently developed mm and submm observational methods, to reach into the dark hearts of dusty galaxies. New machine learning
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on Ecological Neuroscience (SCENE)—a multi-species, international consortium exploring ecological behaviors across rodents, bats, non-human primates, and humans (https://www.simonsfoundation.org/2025/04/24/simons
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies
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gas sensor (PEGS) based on fast Li-ion conductors. The fast ion-conduction characteristics of Li-based materials unlock the possibilities of cost-effective, low-power, multi-sensing arrays with a fast