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Field
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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research participants. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data
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of core computer science concepts, including algorithmic thinking and problem-solving, programming languages, databases, software development understanding, and cyber security Online teaching experience
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learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical response. Data will be analyzed and presented at meetings and conferences. Strategies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
development of statistical and artificial intelligence algorithms for the analysis of high-resolution histology images. The Research Specialist will contribute to the development of novel computer vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
algorithms for the analysis of high-resolution histology images. You will contribute to the development of novel computer vision algorithms that aim to solve specific translational or scientific questions in a
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional