177 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Finland
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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data library Apply diverse data science and machine learning methodologies, including the development of novel analytical approaches. Work and communicate efficiently in a highly interdisciplinary
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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is
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interaction between empirical work, archival sources and theoretical perspectives, linking to international research in the field and engaging in dialogue with several disciplines. The appointee will teach and
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groups such as private individuals, foundations and business partners. You are familiar with managing demanding stakeholder relationships, eager to learn, and able to inspire and persuade collaborators
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, the ability to produce learning materials, additional teaching merits, a demonstration of teaching skills if required, and involvement in doctoral education. Also considered are applicants’ leadership and
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at all levels in the relevant degree programmes. Key Responsibilities: Conduct high-quality research Teach and supervise students at the doctoral, master’s, and bachelor’s levels Contribute