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have a strong background in quantitative methods and are excited to code. You are interested in topics of global poverty and inequality. You have a good knowledge of the statistical software R and/or
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leading surgeons. This is not a routine R&D job. It is a frontline opportunity to shape breakthrough biomedical technologies that directly impact patient care. It’s perfect for someone driven, creative, and
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata
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knowledge of R/Bioconductor and/or Python Working experience with GNU/Linux operating system Enthusiastic about statistical and bioinformatics data analysis Strong communication skills and a team-oriented
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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20%-30%, Zurich, fixed-term The GenAI-R&D for Future-Proof Teaching group at the ETH AI Center (Zürich-Oerlikon) builds fully open-source systems aimed at transforming the way students learn and
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programming in R) Field work experience and a valid driver's license Willingness to travel and undertake extended fieldwork for data collection Advanced language skills in English (oral and writing) Workplace
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R&D team, decisively pushing pioneering ideas and making them a reality. Profile Your contribution In your role you are primarily responsible for the following tasks: Designing and implementing higher
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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science