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bibliometrics and statistics). Resources: Access to prestigious databases, library resources, and funding for participation in international scientific conferences. Work Location(s) Number of offers
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at NTNU. We focus on long-term basic research and applied research at a high international level. Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public
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exhibits strong spatial and temporal nonlocality. This PhD project aims to address these limitations by developing a novel theoretical framework based on the exact electron factorization. In this approach
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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the University of Helsinki which has to be obtained within the probationary period of six months of their appointment, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application
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, perform data analysis using advanced statistical methods, prepare scientific manuscripts, and participate in broader project activities such as synthesis, dissemination, and co-creation workshops. Active
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-efficiency spectral tuning; spatial/spectral demultiplexing via microlens integration; low-power tunable circuit design; and low-loss silicon nitride (Si₃N₄) components for visible and near-infrared. The role
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess