9 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" 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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-out. Our work focuses on developing advanced, data driven solutions to improve understanding, prediction, and treatment response in pediatric cancers, with broader applicability to adult cancers and
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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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your own words, describing your skills and motivation for the position. More information from Manager Kalle Toivonen on 21st January from 14:00-16:00 p. +358 2941 21599 or via email: kalle.toivonen
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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