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Field
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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quantum computing, the candidate will work on benchmarking of ansatz selection and classical optimizer of Variational Quantum Eigensolver (VQE) using quantum computing simulator both with noise and
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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innovative research focused on the formation, structure, and function of bioflocs in climate-resilient aquaculture systems. This position provides an exceptional opportunity to engage in impactful
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, incorporating electronic, thermo-fluid models, and efficiency models (ii) BMS-BTMS operation policy design, which will be based on optimal control techniques and will focus on both electric power
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace