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Field
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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Research Associate will be responsible for developing and implementing machine learning algorithms to analyze genomes and predict disease risk in
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components. Manages data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming
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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 across
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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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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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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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areas of computer science and engineering: algorithms, analysis of algorithms, animation & visualization, architecture, artificial intelligence, assistive technology, computer literacy, computer
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research and travel expenses. Relevant areas of expertise include: algorithms and complexity, natural language processing, and knowledge of the algorithmic fairness literature. The postdoc will be mentored
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific