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for energy saving purpose. The role will focus on geometric representation, multi-physics numerical simulations, machine learning and manufacturability constrained design optimization given metal additive
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research project, where you will be part of the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications
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powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a
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, energy, and sustainability. In collaboration with the Institute for Climate and Sustainable Growth (ICSG), PME launched the Energy Technology Initiative (ETI) in order to advance next-generation
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. Conventional radiographic techniques lack the penetration and resolution needed for dense, heterogeneous matrices. High-energy (megavolt, MV) computed tomography (CT) using a linear accelerator (LINAC) offers a
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budgets, and partners with OSU Energy Partners (OSEP) to implement and maintain Energy Conservation Measures (ECMs). Develops strategic plans to optimize facility performance, extend asset lifecycles, and
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ab-initio material inputs corresponding to the simulated device components, such as the Hamiltonian and Dynamical matrices, electron-phonon coupling elements, forces and energies, etc. Computing
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to utilize industry-standard tools to design, build and maintain data ETL/ELT pipelines. Strong skills in SQL for querying, transforming and optimizing data in relational environments. Experience with
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, Marietta, GA 30060. Job Summary Provides hands-on technical and analytical support to the University's energy management program. Responsible for utility data collection, analysis, and reporting, maintaining
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prescriptions to identify optimal design of lenses. Select and adjust frames to fit clients' facial structure. Measure and record client data relating to specific eyeglass fitting. Calculate lens measurement