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-deprived settings. You will design, implement and validate analytical models using large-scale, linked health and socio-environmental datasets, working closely with academic colleagues, NHS and Integrated
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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
sustainable agriculture, biotechnology, and environmental management. Responsibilities You are expected to develop an independent, internationally visible research program that complements and expands
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and geoprocessing of environmental data; Competences in quantitative data analysis and statistical modelling applied to ecological studies; Experience in the use of programming languages such as Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of the CASCADE model to simulate the future landscape and habitat evolution of the Masonboro Island Reserve. Working within the UNC-CH Coastal Environmental Change Lab, the Research Specialist will add marsh
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world. The research focuses on the challenges arising from increased demand, climate change, environmental impact and loss of biodiversity linked to agricultural and food systems. Read more about our
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dysfunction and environmental related comorbidities. The Postdoctoral Associate is required to work with HIV and animal models of the disease. The selected candidate will also be responsible for analyzing
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in their fields and include National Academy members, Fulbright Scholars and MacArthur Genius Fellows. A Carnegie R1 institution, FIU drives impactful research in environmental resilience, health and
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» Other Chemistry » Inorganic chemistry Chemistry » Other Environmental science » Earth science Environmental science » Ecology Environmental science » Other Researcher Profile First Stage Researcher (R1
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, infectious disease ecology, epidemiology or similar fields. This postdoc position will focus on advancing research into interactions among environmental, ecological, sociological, and economic drivers of land
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of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department