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Computer Architecture Energy Efficient SoC Design Simulation Methodologies (Cycle-level Microarchitecture Simulation) Qualifications A PhD degree in a relevant area Good publication record Experience in
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Computer Architecture Energy Efficient SoC Design Simulation Methodologies (Cycle-level Microarchitecture Simulation) Qualifications A PhD degree in a relevant area Good publication record Experience in
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Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed
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. The Research Fellow will be responsible for working closely with the Principal Investigator and lab members in security related areas in Computer Architecture, dealing with hardware design, memory safety, TEEs
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forces (i.e. at the scale of single photons recoil) in hybrid Strong-Kerr optomechanical architectures. More specifically, the goals are: Characterise the quantum properties of a strong-Kerr microresonator
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international trade law. An emphasis on areas of evolving development, including, e.g., climate, global economic/trade architecture, and digital trade, is preferred. Publish in journals of the highest calibre
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to improving the efficiency of the model training phase, in terms of hardware, model architecture, networking, and algorithm design, etc. The PI (Dr. Zhang Junyu) of this project would like to tackle
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according to CSWIP 3.3U/3.4U Underwater Inspection standards. Integration of robotics stack with the software architecture Test and debug of robotics algorithms in software in the loop simulation
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and Bayesian econometric models. • Has strong background in developing new deep learning architectures. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written
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of experience building and optimizing data pipelines, working with different data architectures and data sets, and in using SQL. • Minimum 2-3 years of experience working with companies in client facing roles