43 postdoc-distributed-algorithms positions at University of Cincinnati in United States
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state regulations. Assist with the administration of the University’s equal opportunity/non-discrimination plans. Coordinate EO Academy events, workshops and instructors. Create, obtain and distribute
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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, and direct programmatic professional development events. Manage & develop content for program Website. Create and distribute program newsletter. Maintain confidential office records. Generate data
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distribution, and respond appropriately. Schedule, coordinate, and support logistics for meetings, speaking engagements, special events, and travel arrangements. Prepare complex reports and itineraries; manage
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may include but are not limited to: advanced hardware and algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making
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algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making; and computational approaches for analyzing and interpreting
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, obtain and distribute required instructional materials as well as communicate schedules and details. Develop and implement marketing and communication strategies as directed by leadership to recruit
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Blood Center. Essential Functions Coordinate work schedules for receiving, inspecting, distributing and maintaining inventory of materials, supplies and equipment. Control equipment and fixed assets
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, maintain, inspect and/or distribute related laboratory material including clean and sterilize delivered glassware, inspect for cracks and breakage, unpack and distribute cleaned glassware and collect dirty
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provided by technology. This programming seeks investigation of threats to justice posed by technology, particularly through algorithmic data bias, and the opportunities to leverage technology more