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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 21 days ago
) in Garching, led by Prof. K. Nandra. MPE is a world-leading institute in space- and ground-based experimental astrophysics, with leading roles in a number of large astronomical projects. The high
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications
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collective action projects (Southeast Rivers Trust and the Wye and Usk Foundation), and the North Essex Farm Cluster. Methods include Rapid Evidence and Qualitative Assessment; participatory and grounded place
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data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated
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collaborate with an interdisciplinary team of researchers consisting of Clara Ekerdt, Guillen Fernandez, Gabi Janzen, Evan Kidd, Kristin Lemhöfer and James McQueen. This team have been working on a large-scale
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information see https://www.kuleuven.be/personeel/jobsite/jobs/60473129 Job description Design and implement chemometric and machine learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics