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Field
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field from an accredited institution. Demonstrated skills in creative problem solving and troubleshooting Experience with parallel computing and multi-core \ multi-threaded programming libraries Knowledge
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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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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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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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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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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design, data analysis, and documentation of experiment results. Job Description Primary Duties & Responsibilities: Develops algorithms and computer software for omics-based data sets [high-throughput
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of their appointment. The candidate will have wide latitude in shaping Polis’s activities through their strategic leadership in program development and implementation and their cultivation, along with the Dean’s office
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient