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Field
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of the underlying interactions. The approach uses a combination of conventional (rapid kinetics, protein engineering, X-ray crystallography) and innovative (smFRET, cryo-EM) biophysical techniques. Current projects
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, Biomedical Engineering, or a closely related scientific field. Candidates in ABD (all but degree) status will also be considered. Certifications/Licenses Required Knowledge, Skills, and Abilities Excellent
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Apply now Job no:536525 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Physics, Engineering/Biomedical Engineering Department
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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support current and future R&D programs that include one or more of the following areas: Developing cutting-edge electrochemical approaches for recovering critical metals from primary and secondary sources
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You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical Engineering, Data Science or a related discipline Proven experience with renewable energy technologies and
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and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in ABD (all but degree) status will also be considered
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&D needs of newly established NSF Engineer Research Center: Environmentally Applied Refrigerant Technology Hub (NSF ERC EARTH), a large collaborative effort involving six academic institutions and