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of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms
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computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. The successful deployment
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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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3 Jul 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 16 Aug 2026 - 00:00 (UTC
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, or a related field. The successful candidate will have a strong academic track record and either a solid theoretical foundation or experience with computational methods. Experience in data analysis and
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) Application Deadline 10 Aug 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
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us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate but
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at FIMM, led by Simone Rubinacci, develops methods for large-scale human genomics and statistical genetics. Our work spans algorithm development, cloud computing, and population-scale sequencing
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research group at INAR, led by Professor Heikki Järvinen. The group is active in topics such as atmospheric convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter
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18 Jun 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Chemistry Computer science Environmental science Physics Researcher Profile Recognised Researcher (R2) First