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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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on wood tissue patterning in birch and aspen. More information available in the lab website . The topics of research projects will be discussed in detail during the interview of the selected candidates
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permanent professorship or a fixed-term associate/assistant professorship (tenure track system), depending on his/her qualifications and career stage. Further information on the UH tenure track system
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research groups at the university. Concrete examples of data sources include audio and text interview material (oral and written), ethnographic data, and location or mobility data, with a particular interest
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democratic literacy, understanding and promoting convivial multilingualism, and opening new methodological horizons. A strategic emphasis on data and AI supports reaching these aims. DIVSOL is led by
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date is the 1.4.2026. Further information About the Department of Microbiology and Finland The department of Microbiology is part of the Faculty of Agriculture and Forestry and is located on the Viikki
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of the position is at Viikki campus in Helsinki. Further information HOW TO APPLY Please submit your application as a single pdf file in English using the University of Helsinki Recruitment System. Please include