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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics
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directions are possible and encouraged. Collaborations include the National Weather Service MeteoSwiss, the Swiss Data Science Center SDSC, Prof. Nicolai Meinshausen (statistics and machine learning), various
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research in plant physiology, experience with sensor networks (automated dendrometers, sap-flow systems) and with processing and statistical analyses of large datasets is important. Teamwork within the group
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backgrounds include statistics, data analytics, and computer science, but students with other backgrounds are also encouraged to apply. Languages: English Workplace Workplace We offer ETH Zurich is a family
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analysis, programming and statistical evaluation Implementation of established and development of new workflows for biomarker identification from omics datasets (proteomics, metabolomics, Raman) Combining
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, teamwork and organizational skills Demonstrated experience in the modelling and analysis of omics data Solid understanding of biological/statistical data analysis methods Proficient programming skills (e.g
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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statistics of your university Contact details of 2 referees Please note that we exclusively accept applications submitted through our online application portal before 30 June 2024. We will not consider
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your online application with the following documents: Curriculum Vitae, max. 2 pages Motivational Letter, max. 2 pages Transcript of records Grade statistics of the university Contact details of 2
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» Statistics Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 11 Jul 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week