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are excited by this opportunity. Qualifications • PhD degree in Electrical/Mechanical/Computer Engineering or related disciplines. • Substantial teaching experience and evidence of strong impact in higher
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scientific machine learning, and promote interdisciplinary collaboration among the disciplines of mathematics, computer science, and engineering. Candidates with strong academic portfolios are encouraged
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finance and green investment Qualifications Requirements Candidates should have a PhD degree and postdoctoral experience in the following or related disciplines: civil engineering, environmental engineering
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possess a collaborative and entrepreneurial spirit, and be adept at applying statistical, data science and or/machine learning methods with a critical perspective in the behavioral and community health
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interventions can support mathematics learning and well-being. Requirements: A Masters or equivalent degree in education, psychology, neuroscience, learning environments or a related field. (Candidates with a PhD
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computational analysis/simulation in at least one of the above areas. Familiarity with the application of Artificial Intelligence, Machine Learning and/or Data Analytics in Aircraft Propulsion and related areas
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Foundations & Core (Statistical) Machine Learning; Data Analytics, Engineering, Protection; and Database Systems and Principles Responsibilities: Research : The appointee is responsible for conducting high
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) in OM or a closely related field is required. While the positions are open for any candidate with research interests in broad domains of OM, those specializing in analytics (AI, machine learning
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position in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages. Responsibilities Design and deliver high quality courses in Artificial Intelligence, Machine Learning and
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fabrication and able to use and teach use of lathe, milling machine and similar workshop machinery. Hands-on competence in CAD, CAM and CNC programming. CNC machining experience, 3 axis and ideally experience