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internationally in our research and study programs. In the newly established research group “Statistics & Data Science”, we develop and evaluate statistical models and analysis methods in psychology. Our research
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Your position You will become part of an international research group in an English-speaking environment. We pursue a range of topics in econometrics, statistics, data science, and stochastic models
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events. New warning thresholds based on extreme value statistics are expected to improve warnings for the population, as well as for cantonal and national authorities, in the case of severe weather events
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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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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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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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» 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
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participants Data collection with adolescents and monitoring of ambulatory assessment Data processing and statistical analysis Presentation of scientific results in internal meetings, at national and
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analysis, processing, machine learning and statistical interpretation of HEP data at CERN in the ROOT project, taking advantage of hardware accelerators. Join CERN's SFT group in the Experimental Physics
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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