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economic vitality, beyond income and business models, including regional collaboration and innovation, can be stimulated. The four-year PhD will culminate in a thesis comprising three to four international
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Apply now Job no:535444 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Environmental Studies Department: School of Architecture
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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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rely on unsustainable materials and on carbon-intensive manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next
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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
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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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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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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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: Develop 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
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This project aims to bridge the gap between technological advancements and their integration into societal and environmental systems by shifting from a product-centric to a service-oriented approach