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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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entertainment, literary, musical, and cultural opportunities, outdoor recreation and Big Ten sporting events. Learn more about Iowa City and the Department of Internal Medicine by watching the video: https
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advanced network analysis combined with Large Language Models (LLMs) to develop robust predictive models for MS progression. General description of the DDLS program Data-driven life sciences (DDLS) use data
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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condensed-matter physics Experience with computational modeling, ab-initio quantum dynamics Experience with large-scale code development and running computations on HPC clusters Familiarity with full quantum
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, Consortium for Latino Health Studies, Big Data Health Science Center, and SmartState Centers. The University has been designated by the Carnegie Foundation as a “doctoral institution with highest research
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new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 10-Jan-26 Location: Notre Dame, Indiana Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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). Responsibilities: • (60%) Lead research projects in bioinformatics and data-driven discovery. o Design and execute bioinformatics workflows for multi-omic datasets, including RNA-seq, scRNA-seq, ATAC-seq, and
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obtained by contacting Prof. Brian Seger . You can read more about the Department of Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in