14 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" positions at UNIVERSITY OF HELSINKI
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning
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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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curricula and pedagogical practices in teacher education, encompassing themes associated with learning as a teacher, professional development and the ethics of the teaching profession. The appointee will
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, learning and teacher education. They will mainly teach in the Bachelor’s and Master’s Programmes in Educational Sciences, within the class and subject teacher study tracks, and in other degree programmes
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Responsibilities The appointee will: Teach in accordance with degree requirements and general guidelines of the Faculty of Social Sciences. Most teaching will take place within the track Global Conflicts
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for European Studies, Economic and Social History, Global Development Studies or Political History. Duties and Responsibilities The appointee will: Teach in accordance with degree requirements and general