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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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for a fixed-term period of 36 months, starting in May 2026. This position is based at the Multimodality Research Group in the Department of Languages and funded by an ERC Consolidator Grant awarded
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28 Feb 2026 - 00:00 (UTC) Country Finland 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 Job related to
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evolutionary cell biology. Our ERC-funded project uses pigment cells in tropical cichlid fishes as a powerful model to uncover how complex cellular phenotypes and developmental programs evolve. We integrate
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programming skills and interest in code development; Have excellent skills in spoken and written English; Research interests close to the project scope and prior experience of computational physics and/or
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, Python or Bash programming languages) as well as experience in analysing sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is 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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) 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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ammonia. The applicant should: Hold a doctoral or master degree in relevant field such as physics or chemistry; Have good programming skills and interest in code development; Have excellent skills in
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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