40 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Study-Group"-"Prof"-"UNESP" positions at ETH Zurich in Switzerland
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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 ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes
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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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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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: 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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and contributor community; oversee communication and engagement via internal and external channels. Plan and supervise maintenance, sustainability, and compliance activities. Profile PhD or Master's
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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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management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER); applying best practices in scientific programming (e.g., automated testing and version control