79 data "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" 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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10 medical campuses in Europe and among the top 50 globally. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406440/assistant-professor… Requirements Additional Information
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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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energy systems. A consortium of leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found
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terminated. Further information Further information about the position may be obtained from Director of Clinicum, Professor Klaus Olkkola, klaus.olkkola@helsinki.fi , tel. 040 7583655. Enquiries regarding
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publications (free format but numbered to indicate the total sum of peer-reviewed articles) FURTHER INFORMATION Further information about the position and the research project may be obtained from Dr Elina Einiö
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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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of teaching skills) and other documents that may affect the selection. More detailed instructions, including the faculty’s teaching merit assessment form: https://www.helsinki.fi/en/faculty-medicine/about-us
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20 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Language sciences Literature Researcher Profile Leading Researcher (R4) Application Deadline 8 Feb 2026 - 00:00
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(€) List of publications List of selected 20 publications Instructions, requirements for language skills and models are available on the Faculty’s website at https://www.helsinki.fi/en/faculty-medicine/about