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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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statistics and in general data science. You - the Post doc - is particularly expected to do research work within civil engineering with a focus on sustainability. Additionally, you will have the opportunity
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) with questions related to this position. Major Duties/Responsibilities: Develop and apply machine learning models (ML) as surrogates for high-resolution process-based hydrologic models. Design and
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Post-Doc Fellow, Causal Inference - 38493 Faculty Description University of Colorado Anschutz Department: Medicine, Division of General Internal Medicine Job Title: Post-Doc Fellow, Causal Inference
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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promoters. Digital Phenotyping: Application of hyperspectral imaging and advanced imaging tools to detect disease traits beyond the visible spectrum. AI-Driven Data Analysis: Leveraging machine learning
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey, is seeking a highly motivated Post Doctoral
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding