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including undergraduate and graduate courses Copies of diploma/certificates Contact information of 2-3 referees A short description of research interests Please note that we exclusively accept applications
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Sciences and Technology. Participation in the interdisciplinary training of the ENDOTRAIN network is mandatory, including workshops, retreats, transferable skills courses, and cohort-wide meetings across
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digital manufacturing techniques. To our infrastructure belongs the Robotic Fabrication Laboratory (RFL), a unique digital construction environment, which allows for world class research in the field
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climate-neutral future .Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter that includes a short description of your research interests
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. endoscopic, MR-, US-guided) Surgical training and simulation Job description You are expected to: Conduct theoretical and experimental robotics research Communicate scientific results in written and oral form
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kinetics, coarse-graining across time and length scales, machine learning from small and multi-fidelity datasets, and autonomous discovery workflows. You will collaborate with experimentalists at ETH Zurich
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scientists, and access to state-of-the-art imaging infrastructure and clinical datasets. Profile You hold a Master of Science degree with first-class grades in: Computer science Electrical engineering
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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to design and execute a pilot CO₂ injection into a saline aquifer to test its behaviour and migration. This PhD project forms part of this study that aims to assess the feasibility, safety, and societal
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mineral fracturing generate reactive unpaired electron radical centers in silica-rich rocks. These silica radicals may react with water to form natural hydrogen, reactive oxygen species, unique silica