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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies. To learn more
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Classification Title: Research Software Engineer II Classification Minimum Requirements: RSE Level I: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics
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select appropriate bioinformatics tools. Advise researchers who are developing novel assays to design appropriate processing and analysis workflows. Review current literature to identify and adopt software
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large research team. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in
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productivity while reducing external inputs. In parallel, the lab is expanding efforts to understand microbiome-associated phenotypes that contribute to drought tolerance and soil water retention. This includes
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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to Reason (Inactive), Analytical Thinking, Big Data Processing, Bioinformatics, Communication, Complex Data Analysis, Data Management, Group Problem Solving, Laboratory Processes, Probabilistic Modeling