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environment. Must be proficient in cashier and computer functions, stocking sales floor, and receive merchandise and transfers. All of these proficiencies will be in accordance with established policies and
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detail oriented. The preferred candidate should have experience with Windows and the ability to learn and troubleshoot new technology. An understanding of Android cell phones and Bluetooth technology is
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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of LCA methods and tools. • Familiarity with energy–water–land interactions, environmental impact assessment, or infrastructure planning. • Machine learning or data-driven methods for large-scale
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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requires standing for prolonged periods, frequently bending/stooping, reaching (overhead, extensive, and repetitive); Repetitive motion: (computer keyboard). Proficient communicative, auditory and visual
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experience in computer administration, FLIM, optical instrumentation development, and software code writing. The research associate should have an interest/ability to work independently as
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for prolonged periods, frequently bending/stooping, reaching (overhead, extensive, and repetitive); Repetitive motion: computer keyboard. Proficient communicative, auditory and visual skills; Attention to detail
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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care activities leveraging system functionality to support clinical process and organizational goals. Understands the use of clinical computer applications which assist in the management and processing