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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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of the project. Your work will combine structured evidence synthesis, computational/data-oriented analysis, and hands-on wet-lab experiments: Systematically collecting and curating published evidence on chemical
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. The project has access to state-of-the-art supercomputing facilities (CSC's Puhti, Mahti, and LUMI) and is well integrated within the international electronic-structure and machine learning communities
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of September 2026 or upon mutual agreement, and lasts two years. Job description Rubin’s theorem says that in certain situations an abstract group acting on a topological space remembers the structure
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LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets
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their professional networks. The partner company for this position is Vossloh Switch Systems, a global railway infrastructure company specializing in design, manufacture, installation, and maintenance of switches and
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for nuclear structure and nuclear astrophysics studies and to collaborate with researchers from all over the world. The doctoral researcher will work in an international environment at the IGISOL facility
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evaluate human- and LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain
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, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
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theses in the discipline within the Bachelor's Programme in Agricultural Sciences and the Master's Programme in Agricultural Sciences (https://www.helsinki.fi/en/degree-programmes/maataloustieteiden