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Field
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systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. The candidate should hold a PhD in experimental physics or similar degree and have
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 13 days ago
Contribute to nanofabrication of microwave-optical conversion devices following a recently published device architecture [1,2] using successful superconducting [3] and photonic [4] resonator processes already
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) concerning turn-key on-board hardware data handling solutions, with an emphasis on: platform and payload data handling architectures and their building blocks (equipment/units, modules and key components
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. Qualifications Qualified candidates must have a PhD in Electrical Engineering or related field. About the Department ECE is one of the largest departments within the College of Science and Engineering. Current
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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the pseudostratified architecture found in epithelial tissues, and how the architecture is exploited for various functions such as morphogenesis, organ development, and tissue fate. We use diverse model organisms
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of this accelerator, i.e. exploring optimisations at the architectural and microarchitectural levels and pushing the design through the ASIC / EDA tools to generate accurate estimates of performance, power and area
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. superlattices) this architecture has unparalleled scope for quantum property design. Your particular focus will be on developing a novel characterisation platform that allows fully functional devices to be
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within