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Field
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multiple priorities and a multi-disciplinary environment. Qualifications: Minimum Bachelor’s Degree in Machine Learning, Data Science, or Statistics, or another field of science or engineering with relevant
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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and conduct project debrief meetings with the clients. Student Engagement and Project Definition Engaging students in successfully executing multiple projects, with multiple teams, serving multiple
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: Develop scientific research in advanced reactor physics modeling and simulation as well as cross section processing through novel methods and algorithm design. Contribute to new reactor physics and cross
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approximately 32,700 students in total enrolled with the University around the world. The Opportunity: Embry-Riddle Aeronautical University in Prescott, AZ, invites applicants for multiple adjunct faculty
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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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signals Innovate new in-line signal processing, measurement data analysis algorithms, and data visualization techniques. Innovate and test new instrument types and measurement methods, Work with commercial
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demonstrated notable innovation in recent advances, such as the foundations and applications of large language models (LLMs) or the development of novel AI algorithms utilizing the latest technologies
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the Budget, Financial Planning & Analysis Office using multiple reporting tools including SUNY BI, Tableau, OBIEE, and Microsoft Excel and Access. This is a dynamic role that will provide the candidate