659 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University
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infrastructure and customer service. The analyst supports the oversight of the Research Commons computer lab, explores hardware and software solutions, and drives the adoption of new and emerging technologies
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regulations. Learn technical skills and apply new knowledge to solve problems. Select and use hand, power and machine tools. Establish and maintain interpersonal relationships. Maintain a clean and safe work
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identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status. Final candidates are subject to
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). Demonstrate solid history of achieving results with complex and dynamic teams. Strong computer skills, including basic knowledge and use of Microsoft Office products. Ability to learn new systems software
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using natural language processing techniques, machine learning and predictive modeling. They will analyze these databases using machine learning algorithms, contribute to the development and
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bone marrow-derived cells, hematopoietic and immune assays, and high-dimensional flow cytometry, along with a strong interest in translational cancer research and learning new technologies. This position
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years of relevant experience preferred. Computer proficiency on MAC-based platforms Proficiency in Adobe Creative Suite - Photoshop, Illustrator, InDesign and other layout programs Knowledge of design
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, lock-out/ tag-out), 3) read, interpret, and apply technical manuals and systems specifications, 4) follow applicable trade specific codes, standards and regulations, 5) learn technical skills and apply
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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immunofluorescence, in situ hybridization, genotyping, quantitative PCR, micro-computed tomography, fluorescent and confocal microscopy imaging, cell culture, and computer based data analysis. Digital PCR and new