143 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at ETH Zurich in Switzerland
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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and engineering. Particular emphasis will be placed on contributions to the MSc Statistics and MSc Data Science programs. Assistant professorships have been established to promote the careers of younger
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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work in the team of Dr. P. Carrara and will be in charge of testing the behavior of different elastomers up to failure, analyze the results with novel digital and numerical approaches and contribute
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30%-50%, Zurich, fixed-term The Institute for Spatial and Landscape Development and the research team “Spatial Development and Urban Policy – SPUR” led by Prof. Dr. David Kaufmann invite
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you will have the opportunity to contribute to teaching activities within the group. The position is funded for 4 years, at 100% employment. The project will be supervised by Dr. Céline Labouesse
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of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission and automate
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, programming, and operation of DIW equipment Determination of optimal debinding and sintering steps Characterization of the sintered materials: density, microstructure, defects, shrinkage, possible distortions
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received by 1 November 2025. Note: as an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application
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related field with experience in water chemistry, silviculture, experimental field work and large-scale data analysis. You must have good statistical skills and programming experience (e.g., in R or Python