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environmental datasets; • Skills in statistical analysis and data processing; • Experience or interest in ecological modeling and spatio-temporal analyses; • Proficiency in scientific programming tools (R, Python
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climate modeling team The Research Center for Environmental Changes, Academia Sinica (Taiwan), seeks a Full Research Fellow (professor equivalent) to provide strategic leadership for the Anthropogenic
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tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical
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also considered an advantage if the applicant has: Experience in analysing environmental contaminants. Experience in exposure modelling and statistical analysis of environmental data. Experience in
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25 Mar 2026 Job Information Organisation/Company CNRS Department UMR-Institut de physique du globe de Paris Research Field Geosciences Astronomy Environmental science Researcher Profile Recognised
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Environmental Health in French West Indies: Research Chair in Modelling, Clinical or Population-Base
for Environmental and Occupational Health (UMR_S INSERM 1085) is a joint research unit of the INSERM institute (https://www.inserm.fr/en/home/), the University of Rennes (https://www.univ-rennes.fr/en), and the EHESP
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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also considered an advantage if the applicant has: Experience in analysing environmental contaminants. Experience in exposure modelling and statistical analysis of environmental data. Experience in
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at the metropolitan scale • Integration of AI-based learning capabilities to refine all types of models studied • Consideration of environmental aspects in the comparative evaluation (positive impact and modal switch
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science