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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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, and performing characterization and optimization. Key Responsibilities: Design and assemble a compact mid-infrared laser system capable of generating high-average-power and high-peak-power femtosecond
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characterize plasma process equipment. Familiar with COMSOL software to simulate the influence of magnetic field on plasma flow. Conducts various design simulations to refine processes. Optimize vacuum coating
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Responsibilities: Develop and optimize synthetic routes for redox-active and conductive MOFs. Investigate the electrochemical performance of these materials under diverse conditions and in various energy storage
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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manage large datasets. • Perform bioinformatics analyses using appropriate tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub
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of the quantum software stack. Qualifications Technical competencies Development of application software: familiarity with state-of-the-art software development, testing and optimization. Re-use, refactoring
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attitude, ability to work independently as well as in a team. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD
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Research Fellow to join our multidisciplinary team in advancing composite materials for additive manufacturing (AM). The successful candidate will explore and optimize a broad spectrum of functional material
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for