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provides opportunity for supporting several high impact publications. Your responsibility and goals Conduct advanced research on LCA methodologies specific to bio-based products and processes. Develop and
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search for new solutions to the challenges of sustainable development. To us, architecture is an art form that requires practical skills and individual artistic development, as well as knowledge
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for functional materials. You will work under the supervision of the Principal Investigator, Dr. Ransell D'Souza, and collaborate closely with Prof. Miguel Caro's group, whose core expertise is the development
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-Informed Machine Learning perspective [1]. The doctoral student’s thesis will focus on operationalising this perspective through the development of Biology-Informed Gaussian Processes (BioGPs
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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development of the project. On the empirical side, you will undertake qualitative research in real-life innovation settings — conducting in-depth interviews with innovation-ecosystem actors and designing and
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are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built
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reactivity on surfaces, with direct industrial and societal relevance? Do you enjoy research, and does the prospect of using simulations and theory to inform and guide experiments motivate you? We are now
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technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy
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deeply into quantum computing and contribute to high-quality research with real-world impact. Join us in shaping the future! Your role and goals Your primary task as a postdoctoral researcher is to conduct