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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: Ph.D. degree in ISE, Manufacturing Engineering, Data Science, or a closely related discipline. Job Description: The
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Foundation (UMF) serves as the central development office for the University of Minnesota
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care across the system on an as needed basis and works with other healthcare professionals to optimize patient outcomes. The ANM promotes quality patient care, patient safety and customer satisfaction
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will focus on the development, optimization and application of multi-modal analysis strategies and pipelines for sequencing data generated on nucleic acids isolated from biofluids (genomics, epigenomics
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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Self-Driving Laboratories for Advanced Sustainable Materials Synthesis School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Nicholas Warren
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Reconfigurable metamaterials for mmwave applications School of Electrical and Electronic Engineering PhD Research Project Directly Funded Students Worldwide Prof Lee Ford, Dr Stephen Henthorn
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly