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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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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In
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collegial and inclusive workplace are essential. Applicants should hold a MSc degree in ecology, botany, biogeography, environmental science, computational biology or related fields. Very good written and
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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institution fostering excellence and diversity. It has a highly international campus with world-class infrastructure, including high performance computing. The EPFL environment is multi-lingual and multi
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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initiatives at the ETH AI Center. Plan, organize, and run the entrepreneurship contributions at events such as the AI + X Summit and AI House Davos – including logistics, scheduling, communication, and onsite