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comprehensive environmental metrics for selected vulnerable transformation areas (VTAs). Soft-Densification Archetypes: Defining and parameterizing densification strategies (e.g., vertical extensions
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related field. Programming, modelling, and data analysis skills in python and machine learning/optimization libraries/toolboxes support you in contributing to our ongoing software development efforts. Your
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methodology that develops physics-informed graph neural networks (GNNs) for composite space structure analysis. The methodology will aim to leverage the inherent structure of composite materials, embedding
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in the host groups and in the network of collaborators; a world-class research and training environment with access to state-of-the-art research facilities; a multi-cultural and stimulating work
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doctoral dissertation on one of the research group’s core research areas Active participation both within the research group and via (inter)national networks and conferences Profile Requirements: MSc degree
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exploration. For more information, visit visit msrl.ethz.ch. Job description This position is part of the GREENS project, a Marie Skłodowska-Curie Doctoral Network offering the opportunity to pursue a PhD
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. For more information, visit msrl.ethz.ch. Job description This position is part of the GREENS project, a Marie Skłodowska-Curie Doctoral Network offering the opportunity to pursue a PhD across various
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Actions Doctoral Networks (DN) program.
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environment within a very motivated and supportive team Opportunity to develop a network with academics and practitioners Career mentoring by experienced researchers Generous salary and pension benefits
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Applicants can apply for up to 3 PhD projects, indicating the order of preference. All applications will have to be written in English and will be checked for eligibility. Ineligible or incomplete applications will not be considered. Applications must be submitted through the RE-Fibre website ...