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23 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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The Faculty of Humanities at the University of Helsinki invites applications for the position of POST-DOCTORAL RESEARCHER IN COMPUTER SCIENCE OR DIGITAL HUMANITIES SPECIALIZING IN AUDIOVISUAL DATA
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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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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD
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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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Biology At the postdoctoral level, the candidate should have a PhD degree in appropriate biological or medical subject. The PhD degree must have been obtained no more than three years prior
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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PhD degree in immunology or closely related field, or be close to graduation. An excellent academic record, a deep understanding of immunology, as well as practical experience of immune cell biology