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Type: Hybrid Eligible Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the
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of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds through FCT (Operation No. 15391 — COMPETE2030-FEDER-00907300), under the following conditions
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expertise and a broader interdisciplinary network. This position builds on our recent work demonstrating that large language models (LLMs) can meaningfully influence human beliefs — including shifting
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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under uncertainty and decision support through combining observed data and mathematical models. The position is available from 19.08.2026 and we expect that the candidate can start the position no later
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fever or pulmonary syndrome), overcome the glycocalyx barrier to reach the cell surface. Employing cell models with a thick glycocalyx as well as synthetic molecularly-defined glycocalyx mimics, you will
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at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check
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scientific journals. Familiarity with Common Data Models (e.g. OMOP) and in the Extract, Transform, and Load (ETL) process of data management. Experience working within (perinatal) pharmacoepidemiology and/or
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wide variety of translational neuroscience research programmes. The focus of the role will be analysis of large clinical datasets from PRECISION-ALS (n~20,000) and PRO-ACE to develop prediction models