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methods and approaches are needed to better tackle the challenges posed by increased uncertainty and complexity. Machine learning (ML) and artificial intelligence (AI) methods have shown promise
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prospect to obtain a PhD degree from ETH Zurich Multifaceted, applied work in a larger team with computer scientists and clinicians/microbiologists From bench to bedside: develop technology and methods
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assurance Evaluate and help introduce new automation technologies and methods within the core facility Profile PhD in life sciences, biotechnology, bioengineering, or a related field Strong background in
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to the systems scale, offering insights into diverse methods and approaches. The PhD position provides access to state-of-the-art computational power enabling impactful research. The position supports
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. This position is well-suited for candidates ranging from M.S.-level scientists with relevant experience or early- to mid-career PhD-trained researchers seeking an independent and impactful role in an academic
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methods. Contributing to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative
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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. We are looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like
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. For this research project in partnership with the Federal University of São Carlos (Brazil), we are looking for a: PhD candidate (100%) starting in April 2026 or upon agreement. Growing concerns about the
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by applying a range of methods, including field studies, laboratory studies, remote sensing, and modeling. The Atmospheric Chemistry Group at ETH currently focuses on modeling, with expertise in
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could have impact on diseases with inflammatory and metabolic components. Job description As a PhD student, you will: perform biological and physical characterization of the glycopolymers in different