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that the pre-selection process is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in
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Science/Artificial Intelligence, with experience in topics that span cancer risk, progression and outcomes. The successful candidate will have the opportunity to be a part of the emerging Cancer Prevention
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tuning. Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth
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Intelligence and Computational Drug Discovery and Development (AICD3), and primarily focused on artificial intelligence application in biotech, computational drug discovery, and drug development research
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have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language
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GIS and spatial analysis Data science, data mining, and information retrieval (multi-modal) Machine learning, deep learning and artificial intelligence (Initial) Experience in grant acquisition and
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substantial experience beyond the Ph.D. Preferred Qualifications: Evidence of strong potential for collaborative world-class research Evidence of expertise in modern artificial intelligence/machine learning
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. The research includes artificial intelligence and autonomous systems that operate in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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(ARE). Profile The successful candidate for this PhD position will have a Master’s degree in spatial planning, urban analytics, transport planning, artificial intelligence or a related field, and will have