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, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Human Genetics Work Arrangement: Location: Houston, TX Salary Range: Per NIH Guidelines FLSA Status: Exempt Work
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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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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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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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Job Description The Opportunity The Embry-Riddle Department of Electrical Engineering and Computer Science seeks a part-time Research Assistant to assist in development of real-time automatic speech
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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