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Field
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, the PhD candidate will either model the redistribution of a focal animal or herbaceous plant species, or simulate changes in potential animal and plant diversity at the ecosystem level. References: Chuine I
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting multiple brain areas in
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PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties. For further information visit our website http://www.fz-juelich.de/ibg/ibg
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its environment: Solutions to environmental crises are well known, but lack widespread implementation. Social dilemmas in game theory illustrate why: ecosystem health benefits everyone, even those who
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and advanced level. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). And about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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to societies and ecosystems from extreme weather events. But these short-lived events are notoriously hard to reconstruct and model, so our understanding of their behaviour during warmer climates is
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation