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Field
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the country, enabling studies across diverse cardiovascular genotypes. A key component of this role includes applying advanced nanoparticle technology to track single GPCR molecules in cardiomyocytes and other
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. The successful candidate will be a key contributor to a multidisciplinary co-design team spanning material science, computing, and electronic engineering, with the goal of enabling next-generation detector
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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Apply now Job no:536301 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Chemistry, Engineering/Biomedical Engineering Department: Knight
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Ph.D.(or foreign equivalent) in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a
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in electrical engineering, nuclear engineering, chemistry, physics, or a related field completed within the last 5 years Demonstrated expertise with digital signal processing in the time- and frequency
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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students. Collaborate with multidisciplinary teams and external partners in academia, government, and industry. Minimum Qualifications: Ph.D. in Chemical Engineering, Materials Science, Chemistry