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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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applications. Experience with research in these assays is highly desirable. Profile PhD degree in bioinformatics or a related field Proficient in NGS data analysis with excellent scripting skills In-depth
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over a protected area in Austria using the most accurate deep learning model. Profile You are a student enrolled at ETH or in a Swiss University, ideally in Geoinformatics, Machine learning
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and co-define action plans. The PhD will not only interact with the interdisciplinary project team, but also with stakeholders from the building materials industry, the association for circular
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of regenerative medicine, robotics, and medical devices/bionic technologies. Job description As Robotics Machine Learning Intern, you will occupy a pivotal role in the development and design of our future robotic
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data processor. Collaboration: Engage actively with an international team of scientists, engineers, and partner institutions. Communication skills and the ability to work collaboratively are essential
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demonstrated expertise in subtractive manufacturing (cutting, milling, grinding, electro discharge machining), production machines and machine tools. They shall leverage their knowledge to address industry
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Perform model calibration, parameter screening, and validation Compare simulations to experimental data and prepare high-quality visualizations Profile We welcome applications from candidates with: A PhD in
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sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive
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public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . chevron_right Working, teaching and research at ETH Zurich We