9 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Itä-Suomen-yliopisto" Postdoctoral positions in Finland
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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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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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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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guidance for applicants including information about the application documents. Please submit your application through our online recruitment system. The closing date for applications is 9 January 2026 (16
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for MSCA and/or EMBO postdoctoral fellowships. CV including a list of publications (if any) with a brief summary explaining your own contributions Names and contact information of two referees, who
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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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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Quantum Nanomechanics group at the Department of Applied