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Water Systems Location Moscow Posting Context Statement Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the world. Who We Are Situated in
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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) is a world-leading academic organisation for education and research in geomatics and related fields. The Department is dedicated to the acquisition, modelling, analysis and management of spatially
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develop stochastic and GIS-integrated spatial energy modelling approaches that account for climate-driven uncertainty, socio-environmental risks, and competing land- and sea-use interests. Particular
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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program seeks to increase our understanding of the immunological and molecular mechanisms involved in autoimmune dysregulation in Type 1 diabetes (T1D). Through the use of novel murine models of T1D, human
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Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110 | Strasbourg, Alsace | France | about 2 months ago
development, as part of the ENACT program (https://cluster-ia-enact.ai/). This position will bridge the gap between fundamental research, teaching, and innovation by combining multiple disciplines and partners