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Field
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review processes, analyze vast amounts of clinical trial data, and assess post-market surveillance data with greater precision. In parallel, AI is transforming drug discovery and development by identifying
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analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data
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students in occupational/technical programs and university-parallel/college transfer programs. Teach up to 12 credit hours of in-person or online government classes per academic semester. Teaching
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for driving the intellectual agenda for the Initiative (and parallel research in India), working closely with Professor Kaur, faculty investigators, and program managers to identify and proactively pursue high
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with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
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physical and logical disk management, data encryption, printer and other device drivers, peripheral connection technologies and devices that use USB, FireWire, serial, parallel, and SCSI, numerous email
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(Bash/zsh), OneDrive/Sharepoint, Box.com (Enterprise), Zoom, Virtual OS Applications (e.g. VBox, VMware Fusion, Parallels), Solidworks, MATLAB, Mathematica, LabVIEW, CAD software. Salary Range $60,000
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within desired specialty. A parallel plan, and communication of such, should be documented for all at-risk students. Job specifications: The anticipated workload for this position is 100-400 hours per
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physical and logical disk management, data encryption, printer and other device drivers, peripheral connection technologies and devices that use USB, FireWire, serial, parallel, and SCSI, numerous email
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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