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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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, functional genomics, protein engineering, and targeted protein degradation. Project background High-throughput perturbation technologies rely on perturbing DNA or RNA to infer the function of proteins. Methods
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the Swiss Federal Railways via the ETH Mobility Initiative, will assess the ability to improve processes for rail system development to unleash efficiency gains, with specific examples for the cargo sector
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV
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, minutes, communication, documentation, cost tracking). In order to fulfil these tasks, it is essential to closely collaborate with all the project partners within ETH Library and at the other Swiss HEIs
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to changing conditions over the coming decades (e.g., when and where to expand rail, road, or cycling infrastructure, or add new transport services). Job description This doctorate aims to advance
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) including milestone tracking, risk management and phase-gate reviews, as well as establishing consortia with industrial partners. Finance & Resources: Manage the centre’s financial and operational resources
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-level academic research in the broad field of animal genomics. The team has an excellent track record of publishing in the field’s leading and key multidisciplinary journals. For a list of recent
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with a solid research background and a track record of scientific publication, preferably with experience in collaborative projects and working at large-scale research facilities. Familiarity with grant