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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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to advancing methods in microbial genomics, long-read sequencing analysis, and applied computational biology Profile You should have a PhD degree in: Computational Biology / Bioinformatics Computer Science
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group’s phenotyping research focuses on the development of methods and models to determine traits of relevance for crop breeding and variety testing. Project background PhenoMix is a joint project of four
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methods particularly in crystalline rock remains insufficiently understood. The Bedretto Underground Laboratory provides a unique, highly instrumented environment to investigate coupled seismo-hydro-thermo
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workflows for assessing production-induced seismicity in geothermal projects Apply developed methods to realistic geothermal scenarios (e.g., Swiss hydrothermal systems) and contribute to best-practice
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at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects at the intersection of synthetic biology
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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. Project background We are looking for a motivated Machine Learning Scientist to join the development team
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are offering a PhD position and a position for a postdoctoral fellow. Project background The project RadiantDx is a multidisciplinary, collaborative project that addresses the diagnosis of sepsis. Sepsis is a
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our