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Developer- AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias  Location: Remote (U.S. based only) Division: Rabb School of Continuing Studies in collaboration with the Heller
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Position Details Position Information Recruitment/Posting Title Application Programmer Job Category Staff & Executive - Information Technology Department Enterprise Application Service Overview
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"Models development using artificial intelligence algorithms for mass gain/scale thickening, internal oxidation prediction based on high temperature exposure in oxidizing atmospheres". Main Duties
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advanced digital technologies, with research spanning fundamental methodological development through to real-world application and evaluation. Key areas include AI, data science, trustworthy and explainable
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reliable comparative database. Finally, the candidate must be able to develop and apply classification algorithms for discriminating between asbestos-cement roofs. Where to apply Website https://xup
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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Department BSD SUR - OHNS: Thirty Million Words - R&D About the Department The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence
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design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic algorithms for both classical and emerging large
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algorithms, and their experimental validation in teleoperation scenarios. Where to apply Website https://trasparenza.uniroma1.it/ Requirements Additional Information Eligibility criteria Eligible destination
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clinical decision support tool for patients with atrial fibrillation, and directly utilizing the specific decision-support device (based on AI algorithms) developed during the study in accordance with