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capacity to conduct world-leading research involving human biological samples, clinical collaborations, sensitive data, artificial intelligence, and biomedical innovation. To support this ambition, EPFL is
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-based venture developed at the Structural Xploration Lab, building the Reuse Viability Index (RVI), an AI system that predicts the reuse value of building components before demolition, using data from
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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looking for student research assistants with a background in computer science, data science, or related fields to support interdisciplinary research projects at the intersection of data science, artificial
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of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position on
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10%-30%, Zurich, fixed-term As part of Grid2050 and NCCR Automation, we are building a high-performance, secure, and fault-tolerant data infrastructure to power cutting-edge energy research
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communication. The lab offers a highly collaborative, international research environment at the interface of vascular biology, muscle physiology, and metabolism. For more information on the lab, visit
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher Mission Despite recent technological advances both in the data management