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nucleosome-level molecular switch that primes and influences HBV infection (10.1016/j.cell.2025.01.033. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and
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analyse observational/real world data to develop mapping algorithms between health outcomes (such as EQ-5D) and measures of wellbeing/independence. You will apply these mapping algorithms to expenditure
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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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primarily on the development, validation, and implementation of the Psychological Referral Optimization algorithm (PRO). PRO is a brief digital e-screening tool designed to support early identification, risk
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processes related to new or modified applications; principles of systems design; technical report writing; and application of algorithms and mathematical modeling and record selection Computer system analysis
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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efficient navigation algorithms for multirotor operations around vessels. The role will focus on integrating drone airspace-usage predictions with Vessel Protected Volume models, developing optimisation and
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fragmentation • Computational approaches to studying political communication • Algorithmic curation and its democratic implications • Digital platforms and civic engagement • Information networks and political
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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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analysing algorithms and metrics for ensuring fair treatment of groups defined by protected attributes (e.g. gender, age, ethnicity, …). Theoretical relations between fairness notions: studying