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optimizing the University’s complex building and infrastructure systems. This position plays a vital role in ensuring the safety, reliability, and efficiency of University operations through expert oversight
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Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and environmental systems using Aspen Plus, Aspen HYSYS, and other advanced
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novel Dy³⁺-doped laser materials (crystals and ceramics) developed with our partners, in terms of spectroscopic and laser properties, energy transfer processes, emission bandwidth, pump optimization, and
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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project focused on the development of advanced semiconductor device processing technologies. Key Responsibilities: Development and optimization of semiconductor device fabrication processes and thin-film
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University of California, San Francisco | San Francisco, California | United States | about 1 hour ago
Featured Job Clinical Technologies Full Time 87443BR Job Summary Manages the operation, system integration, and administrative coordination of Clinical Engineering across the health system. Leads
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into a leading global University shaping the future. https://nusit.nus.edu.sg/ Job Description The Senior Principal Engineer/Associate Architect is responsible for providing technical leadership in
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responsibilities will be tailored to optimize this role’s ability to achieve maximal success as a clinical/academic skull base neurosurgeon, including referrals of patients with brain tumors. The UI Department
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. Research activities align with scientific and technological challenges and current societal issues related to optimizing resource use and renewing industrial processes in a sustainable development context
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments