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classification. • Perform image preprocessing, annotation, and quantitative feature extraction using clinical datasets. • Manage and organize large-scale imaging datasets with attention to data quality, de
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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for the second half of this exciting research project. Both roles are focused on the analysis and reporting of large-scale nutritional data within an epidemiological context. Post 1(Micronutrient status) will
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
to the Earth’s dynamo and to large-scale flows in Jupiter and Saturn. Your tasks Investigating rotating convection and 2D turbulence using theoretical, numerical, and data-driven approaches. Studying the formation
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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analysing large and complex datasets, including multi-omics and perturbation-response data, with a strong emphasis on data quality, reproducibility, and biological interpretability. Practical experience in
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, which supports a Tier 2 computing center and a dedicated Analysis Facility serving hundreds of physicists across the U.S. ATLAS collaboration at the CERN Large Hadron Collider. The scope of the position
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - AI in Arts and
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disparities across the prevention and survivorship continuum. Our work leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team