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). Access to cutting-edge facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. Opportunities to work across model and crop species
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings, a promising
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will engage with national and international policy contexts, drawing on integrated assessment model (IAM) outputs to explore trade-offs and policy levers for guiding strategies for near- and long-term
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and
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extraction, manufacturing, and recycling, are underexplored. This project aims to enhance sustainable machine design through life cycle assessment (LCA), focusing on environmentally friendly materials and
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the complex socio-environmental challenges faced by small landholder stakeholders in the Brazilian Amazon. The project has two main components: 1. Assessment of land use and perceived climate change impacts
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
education on human-induced environmental change. The successful candidate will work in the project Test4Stress ? ?Stress-testing future climate-resilient city and neighbourhood concepts?, which is part of
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Production (NBP) estimates from Terrestrial Biosphere Models (TBMs) with atmospheric transport models, the PhD candidate will also estimate how much the Cerrado and Caatinga biomes influence the carbon budget
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools