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models. The NNDC is responsible for the Nuclear Science Reference (NSR), eXperimental Unevaluated Nuclear Data List (XUNDL), Evaluated Nuclear Structure Data File (ENSDF) and Evaluated Nuclear Data File
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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and prioritize CRMs that may pose environmental risks in Sweden, inspired by the assessment model developed by the USGS. - Integrate multiple lines of evidence, including data on the occurrence of CRMs
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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available start date is May 2026. Basic Qualifications Candidates must hold a Ph.D. degree in a relevant discipline such as biology (all subfields) or environmental science, and they must be comfortable
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Qualifications • Highly recommended by scientists in the candidate’s field of study • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale
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14 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Biodiversité et l'Environnement Research Field History Anthropology Environmental science Researcher
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& Environmental Sciences (BEES) and the MaREI Centre in University College Cork (UCC). The ObSERVE project aims to provide updated information on the distribution and abundance of marine megafauna in the Irish EEZ
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C3 /C4 transitions occurred in the past Publish results in scientific journals with highest scientific standards Your Profile Master or PhD degree in Biology, Plant Ecology, Environmental Modelling
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data