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immersif à large champ de vision (iDome), à des scènes environnementales contrastées incluant notamment des contextes naturels (forêts, parcs), neutres, et dégradés (trafic, fumées, déchets, sites
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to Search Assistant Professor of Practice, Educational Leadership and Policy (Career-Track) Posting Number req25556 Department Educatnl Policy Studies Pract Department Website Link https://www.coe.arizona.edu
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atmospheric modeling datasets of wildfire smoke pollution, linking smoke pollution exposure to human health outcomes, and analyzing wildfire smoke in the context of other climate-related exposures
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and European institutions. https://eunicoast.eu Main Responsibilities The recruited person will be responsible for: • maintaining an active watch on relevant funding opportunities for the laboratories
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 2 days ago
modeling, and involves a broad interdisciplinary team (senior scientists, PhD students, postdoctoral researchers, engineers) in a high-level scientific environment. In this context, you will be responsible
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educational contexts; c) At least three indexed scientific publications (Scopus or Web of Science); d) Proficiency in spoken and written European Portuguese. 5. Formalization of the applications: Applications
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disease‑relevant context. Curious, proactive, and motivated to operate at the interface of research, innovation, and valorization. Desirable / Plus Hands-on experience with deep learning frameworks (e.g
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-Heart crosstalk in the context of cancer-induced cachexia (MuscExiaHeart)”, funded by ERA4Health InterHeart 2025. The position is available immediately and will be based at Humanitas Research Hospital in
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Communications Location Moscow, Off Campus Location - remote work available Posting Context Statement This position supports and advances the University of Idaho’s enterprise Sitecore ecosystem, including Sitecore
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. Skills and Experience: · Tertiary qualification in a relevant quantitative discipline or equivalent experience. · Experience applying statistical or machine learning methods in real-world contexts