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Field
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and target trial emulation frameworks to design and conduct studies that compare alternative analytic strategies; apply and validate methods using real-world data sources; investigate approaches
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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, interdisciplinary, and international team Successful candidate should have prior experience in at least one of those areas: analytical methods (e.g. profilometry, SEM), machine learning and/or modelling, embedded
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(or key maritime sectors) in comparable Baltic Sea states (e.g., Germany) differ, and what lessons can be learned? What are the pertinent environmental and economic regulatory requirements and principles
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of computational, analytical and experimental techniques to investigate potential fuel additives to understand the mechanical, chemical and environmental impacts. We are looking for an enthusiastic and
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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27 Sep 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Analytical chemistry Chemistry » Other Computer science » Programming Computer science » Other Environmental
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related fields; Capability and passion for working on challenging topics that have both fundamental and applied research aspects; Strong competence in analytical skills, mathematical skills, and
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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Computer Science, Machine Learning, Operations Research or a related technical field. Strong background in deep learning with a motivation to advance fundamental techniques. Excellent analytical, problem-solving