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supported by NIH and other extramural funding agencies. Develop, optimize, and troubleshoot new experimental techniques and protocols. Participate in research seminars, journal clubs, and collaborative
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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vitro T cell and HSC transduction: optimization of conditions, demonstration of on-target specificity In vivo experiments: injection of mice, in vivo imaging, bleeding/organ extraction and analysis using
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laboratory, we can test and optimize systems under realistic conditions, creating solutions that contribute positively to the decarbonization of thermal infrastructure within the energy transition and the
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both
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optimization, and validation. The applicant must be proficient in recombinant protein expression and purification. The applicant must have hands-on experience with Western blot, In-Cell Western, flow cytometry
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. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses
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undergraduate students and about 180 graduate students. The Department hosts research in various application areas including advanced manufacturing, energy systems, healthcare systems, manufacturing systems
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related to the position please click on the relevant links above. Position Specific Responsibilities/activities: Conduct research on the modeling, design, and optimization of advanced solar-energy