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Field
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Health, powered by the All of Us Research Program with the study goal of developing algorithms that predict individual responses to food and dietary patterns. The department is one of six clinical centers
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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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engineering principles and software development practices to assist a Senior Software Engineer in the design, implementation, testing, and refinement of control algorithms and system interfaces that support
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join the Data Science and Engineering for Nonproliferation group, where the selected candidate will focus on developing novel, physics-informed data-driven methodologies and apply groung-breaking machine
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machine learning algorithms with respect to algorithmic and mathematical design or tweak high-level ML applications with purpose. The Cybersecurity concentration serves two goals: to prepare students
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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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tools developers in the laboratory in implementing algorithms and software packages. Download data from repositories (GEO) for public data integration, interrogation, and hypothesis generation. Minimum
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on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research