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and/or the University of Zurich. Wyss Zurich supports projects focusing on developing treatment protocols and clinical therapies, as well as novel technologies and intelligent systems in the emerging
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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microfluidic platform for studying bacterial lung and bladder infections and testing new antibacterial drugs is currently developed. The platform includes a microfluidic system for culturing advanced in-vitro
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through the development of strategies for long-term data quality improvement and data curation, including persistent identifiers for organizations, researchers and funding Supporting the writing of reports
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maintenance, development and implementation of new analytical methods and new data analysis strategies are part of the responsibilities, as is the participation in the training and teaching of graduate students
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the development and use of biodiversity data infrastructures how justice considerations can be integrated into global biodiversity monitoring and decision support systems The postdoc role is designed to offer both
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and develop soft matter characterization techniques, including rheology, microscopy, and spectroscopy. Analyze structure–property and structure-function relationships in mycelium-based systems. Scale-up
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle