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by Dr. Monique Ligtenberg. Project background While a postdoctoral researcher will explore the broader global entanglements of Swiss engineering, the PhD project, From Colonial Complicity
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control (IDSC), Department of Mechanical and Process Engineering (D-MAVT) is looking for a Ph.D. student in the
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, Caflisch group) and will benefit from the experimental input from several ongoing structural biology projects in the Jeschke group at ETH. It will be highly advantageous for candidates to have prior