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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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, environment, society and health as well as health systems and interventions. The Department of Epidemiology and Public Health (EPH) investigates distribution and causes of infections and non-communicable
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. Sabine Rumpf), and the Flore-Alpe Alpine Botanical Garden (Prof. Christophe Randin). Climate change is shifting the spatial distribution of suitable habitat for all species, but the vast majority
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develop and apply computational approaches to identify policy strategies that are politically feasible and compatible with changing land-use demands, while also considering the distributional impacts
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broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics
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predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. The position is offered in the framework of a recently funded SNSF project with
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for peacebuilding professionals from around the world. To support the Dealing with the Past Program we are looking for an Intern (100%) Dealing with the Past. Starting date: 1 February 2026 or by agreement Duration
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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. You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis