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iterative validation. The project combines the generalization capabilities of large language models with symbolic constraints and formal verification backends to ensure generated properties are auditable
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thermoplastic feedstocks for FDM printing Programming of an existing hybrid FDM printing machine, including printing and milling devices Modelling and optimization of the debinding process Simulation-based design
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
representing processes at larger scales in models. The parameterizations will be based on existing and new field observations (Swiss Alps and Central Asia),laboratory experiments and process modelling. This 3
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space. In the frame of an industrial project, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray
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, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and if possible, X-ray imaging. We expect the candidate's enthusiasm for interdisciplinary work related to Space
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
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photogrammetric acquisition and reconstruction tailored to GLAM (Galleries, Libraries, Archives, Museums) contexts. Contributing to data registration and deconvolution, metadata acquisition, and high-fidelity model
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of gene dosage in regulating cellular function in male and female animals - from individual genes to chromosome-wide scales. We combine work in non-model organisms (like mosquitos or brine shrimp) with
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels