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sustainability and enrich our university, our culture, and region. Please use the following link to learn more about YSU: https://ysu.edu/about-ysu Show more Show less Connections working at Youngstown State
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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Grade Level 13 Salary Range $71,323-131,685/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification One of the following: 1. State Registered Nurse Assistant (SRNA
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, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges. Job
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to conservatory events Knowledge of DAW software, Video editing software, basic computer competence. Experience using iMacs is preferred. Experience using A/V hardware, and routing audio and troubleshooting Data
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segmentation, and ROI-driven marketing. Skills and Knowledge: Excellent verbal and written communication skills, with the ability to tailor messaging to various audiences. High level of professionalism, strong
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to read and interpret blueprints, technical manuals and service manuals needed. Computer literacy with database and word processing knowledge Strong organizational skills Good written and verbal
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD