61 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at UNIVERSITY OF HELSINKI in Finland
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the project themes. Co-coordinating academic networks and events. Public dissemination of research results (e.g. via social media). Small-scale teaching tasks (10-20%) A more detailed research / work plan will
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development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion) in evolutionary biology, ecology, genetics, or related fields. Expertise in molecular genetics
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Application Deadline 15 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff You will be working in a stimulating and supportive research
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, and 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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expected to actively contribute to teaching in the master’s program in social sciences, or thesis supervision and other research activities of the Institute. QUALIFICATIONS The appointee to the position must
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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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leadership. The role requires a versatile language scholar who, in addition to specialist expertise in Russian, possesses skills aligned with the University’s strategic plan and the focus areas
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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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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is