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) Names of 3 references, their affiliations, and contact information Applicants selected for an interview will be contacted via email. The interview process will consist of an initial 30-45 minute screening
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data
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experiment. Lead a lecture section of a large introductory physics course including development of lectures and oversight of teaching assistants. Develop software for the readout of prototype and production
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-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT
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, management, and retention of large-scale data sets. Lead and/or assist with the preparation of research articles, reports, and grants. Disseminate research findings at academic conferences and journals
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they are compensated. Please add in your program & position-specific information here. Job Duties 50% Plan, develop, and implement innovative and collaborative research objectives for the intermediate wheatgrass
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) for the application of THz fields in ultrafast electron diffraction (UED) in the Department of Physical Chemistry of Prof. Martin Wolf. The successful candidate will join our ultrafast electron diffraction team in
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, though exceptional candidates with expertise in human cognitive neuroscience are encouraged to apply. Position Overview Successful candidates will lead projects involving: • Large-scale neurophysiology
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culture and optimization and large-scale protein expression and purification as well as biochemical analysis. Projects will enjoy fantastic access to a state-of-the-art in-house Cryo-EM facility featuring a
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Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring