72 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at UNIVERSITY OF HELSINKI in Finland
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research plan approved by the dissertation supervisors; Completing the credits required for a doctoral degree in the doctoral programme in theology and religious studies (or another relevant UH doctoral
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) Country Finland Application Deadline 5 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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for professional development. The University 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
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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-arriving-staff Four research groups within
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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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opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https
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(or equivalent experience) in mathematics, computer science, engineering, statistics, biology, medicine, or a related field. Experienced applicants with a bachelor's degree or similar can also be considered
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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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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in logical reasoning is essential Demonstrable research experience in SAT/ASP/SMT/MaxSAT Excellent English
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The appointed researcher is expected to pursue an independent research programme on methodological innovation in applying AI to qualitative social scientific research, typically in collaboration with existing