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Field
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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Your Job: Develop and refine detailed models of power electronics and their control systems for stationary battery storage applications Focus on system identification and parameter optimization
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wavelengths via nonlinear optical processes. These pulses will be used to optimize high-order harmonic generation for applications. Development of an attosecond pulse source in the X-ray region. The goal is to
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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in heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received within the last 3 years in Electrical and/or Computer Engineering or a closely related
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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disabilities. Minimum Qualifications Doctoral degree (PhD, MD, DDS, PharmD, etc.) in a relevant field Preferred Qualifications Doctoral degree in climate and/or health related field Physical Demands Salary Range