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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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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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Description Start date/duration as soon as possible for 4 years Job profile: Your tasks: Dissertation in the field of flood protection and climate change (in particular technical flood protection, natural
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Blockchain powered Climate Actions in Transportation (CAT-Chain) ecosystems. This position is ideal for candidates interested in research–practice integration, large-scale mobility modeling, and translating
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To analyse tick abundance data To collect and analyse tick abundance data in relation to forest management in the context of climate change To apply an existing population dynamic model to our study cases
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Requirements An ideal candidate will also have experience in modelling of insect dispersal and/or climatic suitability analysis and Bayesian statistics. Previous involvement in acquiring research funding will be
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Ph.D. in a relevant field, such as machine learning, climate science, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling
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applicants will be supported in applying for a Study Permit. We are currently looking for students to work in two main areas: 1) PhD in Modelling microbe-molecule interactions for climate change Human-driven