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Field
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to environmental outcomes from the quantitative biophysical models in the project. We seek candidates that hold a doctoral degree in environmental social or natural science, for example in geography, political
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city models focused on health and environmental infrastructures. Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban
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? No Offer Description Will you develop our next generation environmental impact assessment to make PV circular and more sustainable? Are you an expert in LCA modelling, and you want to make the energy
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, and NMBU, providing expertise in geospatial modeling, immersive technologies, and glacial environmental dynamics. Your experience and ambitions We welcome candidates from diverse academic backgrounds
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theoretical ecology, geosciences, applied mathematics, environmental physics, or a related field. Research experience in numerical modelling, preferably with knowledge of either eco-evolutionary models and/or
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applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September
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30 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie de Villefranche Research Field Environmental science Environmental science » Earth science Environmental
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22 Aug 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Environmental science » Other Researcher Profile First Stage Researcher (R1) Country France Application
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qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
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circular economy by promoting earthen masonry construction, recognized for its low environmental impact and its ability to preserve local identity. However, the development of this material remains limited