26 Statistics "WSL Institute for Snow and Avalanche Research" positions in PhD in Switzerland
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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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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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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
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, Neuroscience, Cognitive Sciences, or related fields. Desired: Experience developing computer graphics or virtual reality experiences. At ease with topics such as behavioural psychology, statistical analysis
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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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that to others, and know when to apply which method. You have a rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a
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rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a Master’s degree in Economics, Political Science, Data Science, or a
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skills in English. Willingness to contribute towards an empirical project. Ability to speak and understand French (highly desired: German and French). Excellent knowledge of research methods and statistics