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performance and availability of funding. The starting date is as soon as possible but can be negotiated. Profile You must have a PhD in physics, climate sciences, statistics or a related subject, ideally
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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of PhD students and postdocs at the IMB by applying (and/or advising on) appropriate biostatistics and modelling methods for the analysis, integration and visualization of omics data (e.g., genomics
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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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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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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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Pomeranz from the University of Zurich, as well as the postdocs, PhD students and other student research assistants involved in the project. You will be responsible for coding the content of Swiss collective
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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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and communication strategies. This ambitious project invites passionate PhD candidates to contribute to pioneering studies that merge theoretical insights with practical applications, marking a
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security standards, while allowing an high-degree of flexibility for end-user scientist to experiment with cutting edge biomedical research - from classical bioinformatics and statistics to large-scale data