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: Experience in machine learning, optimization, or AI-driven decision-making Preferably knowledge of Bayesian optimization or Gaussian processes Programming experience (Python, MATLAB, or similar) Soft Skills
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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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in operations management, interdisciplinary collaboration, leadership, and the promotion of young talent. You have a successful track record of your own research, including competitive third-party
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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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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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strategic stakeholder engagement Proven track record working in the anti-corruption space and preferably previous engagement with or in Collective Action initiatives/multi-stakeholder platforms Experience in
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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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Developmental Medicine. The Faculty of Medicine of the University of Basel invites applications for a Tenure Track Assistant Professor, Associate, or Full Professor embedded in the Basel Research Centre of Child