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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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proficiency in relevant software tools for environmental assessment and statistical analysis Excellent written and verbal communication skills in English Ability to work effectively in a collaborative team
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the data, and analysing it descriptively using the statistical software packages R or Stata Contributing to a research article documenting the dataset and the changes in the collective bargaining landscape
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communication, teamwork and organizational skills Demonstrated experience in the modelling and analysis of omics data Solid understanding of biological/statistical data analysis methods Proficient programming
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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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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 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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analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical