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services for the Birck Nano-Technology Center. This facility contains highly complex systems that distribute ultra-clean air and utilities, supported by sophisticated control and alarm systems. Specialized
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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incorporate technology and teach on-line is highly desirable. Teaching assignments may extend to other campuses. Earned Master's degree in Biology or a closely related field with at least 18 hours of graduate
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of financial systems, blockchain-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program involves the study of machine learning
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. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning. Your tasks: Development and comparison of data driven models for the prediction of stresses in
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Science, or Information Science, or a bachelor’s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning
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, and seminars that fully address the instructional learning goals. Utilize various instructional methods and adult learning principles to cater to diverse learning styles. Technology Integration: Utilize
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enhance machine learning performance; novel chip design strategies prioritizing efficiency and cost; verification of digital designs; advancements in electronic design automation (EDA), especially for AI
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computer labs, administrative computers and other technology hardware for Student Affairs units. Field Support Field support for workstations, printers and other peripheral hardware for residential computer