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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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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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, political science, or other quantitative social science Very good planning and coordination skills Solid foundations in causal inference methods (e.g., randomized experiments, difference-in-differences, and
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Stochastic Emulators 100%, Zurich, fixed-term 05.05.2025 | Chair of Risk, Safety and Uncertainty Quantification PhD Position in Hierarchical Bayesian Inference using Stochastic
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of 6 months is required Bonus points Applicants with the following qualifications or experience will receive bonus points: Exhaustive track record in setting up software, operating systems, version
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oriented toward real-world outcomes. Fluency in English Willingness to work in Zürich. Workplace Workplace We offer Compensation & Growth Salary based on experience and fit. A clear career evolution track
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quality systems as we prepare for clinical and commercial scale-up. This role is ideal for an experienced leader with a strong track record in operations, medical device compliance, and international market
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of organizational and content creation / management tasks: Project and logistical support – maintain oversight of timelines and deliverables; track tasks; support coordination, and support with platform rollout
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engineering, physics, material science or a related subject with an excellent academic track record. She/he is motivated and interested in working within an interdisciplinary research group. She/he works
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of a process to track the success and impact of the two initiatives, and regular evaluation by ETH researchers as well as external stakeholders Manages a central pool of space experts (project managers