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Science or related field Strong skills in quantitative methods and a strong command of R or another statistical programme Motivation to conduct independent research on your PhD as well as work together
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of research methods and statistics; ideally you are familiar with analysing quantitative survey data; in case, willingness to learn these skills independently. High level of commitment, intrinsic motivation
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» Applied mathematics Mathematics » Statistics Technology » Energy technology Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract
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3 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology » Other Researcher Profile
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, policy-relevant research. Hold (or will have completed at the time of appointment) a Master’s degree in Economics, Econometrics, Data Science, Statistics, or a closely related quantitative field. Possess a
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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. Candidates should be able to independently conduct statistical analyses in R, be able and willing to conduct fieldwork in the Swiss Alps, and have knowledge in plant species identification. Prior experience
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emission from marine and terrestrial sources, through its chemical transformation in the atmosphere, and finally to its deposition as wet or aerosol particles. You will also use statistical inference methods
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should have experience and knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written