14 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" 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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ecology predictions and empirical data on the evolution of sex-specific differences in immunity and life history traits. As we intend to conduct interviews also during the application period, we appreciate
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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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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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-month employment contract 15.2.2026-15.12.2026 (or starting as agreed). The selected candidate must be an enrolled bachelor or master student at University of Helsinki. The tasks include: Data entry
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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