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, land-use change, and environmental dynamics. • Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological
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. • Data Integration and Scenario Modeling: Integrate technical, environmental, and socioeconomic data to quantify and compare alternative development trajectories, technologies, and siting strategies
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: an interdisciplinary approach to understanding the interaction between bacterial pathogens of environmental and zoonotic origin and the host’s innate immune system. ” In this thesis, we will develop structured partial
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in ecology, soil science, agricultural, environmental or related sciences. You have a strong interest in soil erosion modelling and phosphorus-driven eutrophication, with experience in soil monitoring
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28 Mar 2026 Job Information Organisation/Company Università degli Studi di Camerino Research Field Environmental science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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modelled from an energy and environmental standpoint by analysing the performance of the individual processes and/or machines that are most relevant in terms of resource consumption (energy, water, etc
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1 Apr 2026 Job Information Organisation/Company La Rochelle Université Research Field Computer science Environmental science Computer science » Modelling tools Computer science » Programming
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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