40 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"Prof"-"UCL"-"Study-Group"-"St" positions at ETH Zurich
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                research groups (from University of Zurich and University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier Post-Doc programs focused on advancing interdisciplinary AI research 
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                the institute. You will work in Moodle to maintain and improve the online component of the course, including graphical summaries of new content. You will also compile the event program booklet. In this role, you 
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                background ETH Zurich is seeking a dynamic and highly organized professional to co-lead the ETHInvestor Connect Program. This position provides a unique opportunity to work at the intersection of deeptech 
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                : program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG 
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                case study landscapes. Thus, analytical and programming skills are essential. You will be developing and using a set of climate change and rewilding scenarios, including the cessation of forest 
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                internal and external channels. Plan and supervise maintenance, sustainability, and compliance activities. Profile PhD or Master's degree in Machine Learning, Data Science, or Biomedical Informatics. 5 
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                such as Stata, R, and/or Matlab Collecting data using web scrapers and data providers like Macrobond Coding in R or Matlab on data analysis and macroeconomic forecasting Programming surveys with Qualtrics 
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                The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster 
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                to the practical supervision of undergraduate and Master’s students through assisting in laboratory courses and semester projects. As a Research Assistant, you will be expected to plan and conduct experiments 
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                ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required