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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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outstanding working conditions. As part of an interdisciplinary team at the intersection of applied machine learning, behavioral science, forensic toxicology, and automotive safety, you will contribute
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, human physicians, veterinarians, or pharmacists with a doctorate (PhD, MD-PhD) and at least 2 years of postdoctoral experience or a comparable qualification may meet the requirements. Excellent scientific
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, future projects will also involve patient cohorts. We are currently seeking a motivated and skilled PhD student to join our team. Project background This project focuses on neuromodulatory systems (and the
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the selection of further reactions to run, and their application to targets of medicinal interest. Job description As a PhD student in our growing team, you will develop machine learning methods to predict
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of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management
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print Drucken Do you want to shape the future of AI-driven manufacturing? Are you eager to apply cutting-edge machine learning and optimization techniques to real-world industrial challenges? Join inspire
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded