169 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions in Finland
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2 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland
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to tolerance, movement, and interaction. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate across
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of the appointed researcher is - jointly with the research team - to design and conduct quantitative research, mostly on longitudinal register-based data on autoimmune diseases. Additionally, the researcher is
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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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a reasonable period of time. Support for studying the language will be provided. Further information on language skills and the demonstration of language proficiency is available on the University
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page) A description of leadership experience and work experience in the research infrastructure field (1 page) A curriculum vitae (CV) and contact information for two referees A statement of any other
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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