66 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at UNIVERSITY OF HELSINKI in Finland
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transition from rainfed to nature- and technology-based water management systems can be used to safeguard profitable, sustainable, resilient, and regenerative primary production in the pressure of global
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on the Viikki Campus. Tasks Teaching and teaching-related tasks account for the majority (70-90%)of the annual working time. The primary focus will be on contributing to the curriculum of the Master’s Programme
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) must be met by the beginning of the employment. Other requirements are a good computational background (basic knowledge of R, Python or Bash programming languages) as well as experience in analysing
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requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents . The chosen applicant is
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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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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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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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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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(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