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to developing next-generation microbial technologies for the degradation of persistent pollutants like PFAS. Using environmental isolates and advanced microbial screening, we engineer bacterial consortia for use
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excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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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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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state
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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