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management and user training experience. • Proficient in SEM and FIB operation including imaging, microanalysis, and sample preparation. • Familiarity with ThermoScientific/FEI user interfaces for SEM and FIB
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in peer-reviewed journals in a timely manner Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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Research City Salt Lake City, UT Track Non Tenure Track New Position to Begin 8/16/2025 Details The Department of Radiology and Imaging Sciences at the University of Utah is seeking a Research Assistant
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. Desired Qualifications For a tenure-track position, research experience and an advanced degree (MS or PhD) are desired. Special Instructions to Applicants Application Process: We invite qualified applicants
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range of imaging biomarkers, as well as protocol design and centralized, independent reading. Our highly experienced team is composed of neuroradiologists, MRI physicists, dedicated post processing
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well as, market and organizational considerations when extending an offer. The hiring process for this position may require a criminal background check and/or motor vehicle records check. Any verbal or written
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the ability to work effectively with customers and academic teams. Prior teaching, tutoring, or workshop facilitation experience is a plus. Adaptability: Ability to work across multiple process technologies and
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
now to Health Sciences Assistant Clinical Professor-Multiple Sclerosis Job #JPF10488 Neurology / David Geffen School Of Medicin / UCLA Position overview Position title: Health Sciences Assistant
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD