32 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs 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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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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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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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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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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The Ecological Synthesis Group (ESG), led by University Researcher Dr. Caio Graco-Roza, invites applications for a Doctoral Researcher (PhD student) to join the research group at the Lammi
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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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duration of 1/8/2026-31/7/2028 or as agreed. The position is part of Helsinki GSE activities on Data Room related research. The Data Room is an independent unit at VATT Institute for Economic Research, with
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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