52 data "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions in Finland
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data
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opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Application should include the following documents as a single pdf file: a cover letter, a CV, a publication list the
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provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information
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Project: Statistical modelling the Evolution of Sex-Specific Differences in Life History and Immunity Supervisors: Dr. Elina Numminen, Faculty of Science, University of Helsinki, and Dr. Piret Avila
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21 Dec 2025 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Science, Forestry and Technology, School of Computing Research Field Computer science Engineering
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here . Please see more of our Open Positions here. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405329/postdoctoral-resear… Requirements Additional Information Work
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10th, or until a suitable candidate is found. Further information For informal inquiries, please contact: Dr. Caio Graco-Roza University of Helsinki, Lammi Biological Station Email: caio.roza@helsinki.fi
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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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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