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100%, Zurich, fixed-term The professorship for history and philosophy of mathematical sciences , led by Prof. Roy Wagner, is a place for reflecting on all aspects of mathematical knowledge from
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of evolving cooperative behavior given experimentally determined spatial structure in the gut microbiota. The project is theoretical, relying on mathematical modeling and simulation. The position is funded
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the optimized models for suggesting new experiments to identify digital biomarkers that can be used to classify disease models Your profile You are a team-player You have a bachelor in physics, mathematics
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learning, deep learning, and topological optimization. Highly motivated, self-driven, and shows excellent performance Strong analytical, mathematical, and algorithmic capabilities Understanding and
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a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse
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, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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100%, Zurich, fixed-term The department of Mathematics of ETH Zurich offers a two-year postdoctoral position in Probability in the group of Prof. Vincent Tassion. The position can possibly be
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100%, Zurich, fixed-term The Chair of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering at ETH Zurich, is looking for a highly motivated Post-Doctoral Researcher / Senior Assistant to work broadly in the area of energy systems analysis. The ESA group is...
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering