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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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for mitochondrially encoded proteins remains a largely unexplored field. In this project, we perform unbiased genome-wide screens for the identification of new PQC systems in mitochondria. We use the yeast
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large-scale experimental and clinical data to advance biomarker and therapeutic target discovery, as well as advancing translational outcomes Precision Health and Aging to advance our current
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extensively studied in dynamic compression, with widely varying compression rates. A large body of literature exists, but there is disagreement on the transition ranges, the nature of some of these transitions
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: 6796532 University of California Irvine Assistant Professor - Musicology Position overview Salary range: The salary range for this position is $89,900-$116,700. The posted UC salary scales set the minimum
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funded by the Research Council of Norway. This is a unique opportunity to contribute to the development of next-generation AI tools for large-scale, longitudinal, and federated datasets – bridging
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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pioneering approach in plant science that connects quantitative genetics, environmental sensing, and agricultural data science at scale. Key Responsibilities: Integrate and analyze large-scale environmental
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expected to work closely with the industry partner Johnson & Johnson in Belgium to develop cutting-edge bio-synthetic methodologies for drug discovery and large-scale manufacturing. This post is fixed term
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policies in selecting methods and techniques for obtaining solutions. The Bioinformatician will be responsible for analyzing, and interpreting large-scale, high-dimensional datasets, encompassing multi-omics