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to: Perform prospective life cycle assessment of emerging technologies in the blue bioeconomy domain, specifically microalgae production Focus explicitly on quantitative approaches for consequential modelling
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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neurodegenerative diseases. The most promising candidates will be assessed using advanced docking and dynamics simulation techniques, providing insights into their potential interactions. To further substantiate
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Foundation Models initiative . The proposed starting date is 1 September 2025 or soon thereafter. The appointment will be made for a term of three years at a competitive salary and will follow the PhD study
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from satellite, aircraft or ground sensors to understand, model and retrieve parameters relevant to the processes driving our atmosphere, biosphere, hydrosphere and cryosphere. About the research project
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causing damage to the stomach epithelium? You will work with a mouse gastric organoid-derived tissue model to explore this in a hologenomic framework. You will have opportunities to participate in relevant
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outcomes. Computational biomechanical models of the MV will be developed to offer new insights, create mechanical markers for MR progression, and evaluate repair techniques through simulations. Despite
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as