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of the Chesapeake Bay. The Research Fellow will also mentor and train a graduate student on a daily basis. The Researcher will be expected to present their findings at regional professional conferences and to publish
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Sci FTE 1 FLSA Exempt Scope of Job Trainee position to pursue research as a vital component of their educational mission and professional career development. Works under minimal supervision with some
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drug development, with strong potential for publication in high-impact journals. Our research aims to uncover fundamental mechanisms of leukemogenesis and solid tumor progression, with a particular
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$3,000 per year for conference travel and career development. Teaching Participation in teaching is not required, though fellows may guest lecture in courses, with guidance from Princeton mentor(s
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Lawrence Berkeley National Lab’s (LBNL ) Advanced Light Source Division has an opening for a Postdoctoral Fellow to work on developing Bragg-enhanced X-ray Absorption Spectroscopy primarily
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Disability RRTC's research projects, including supporting the development and implementation of an intervention to enhance aging with a physical disability to inform the transition to older adulthood and
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Lawrence Berkeley National Laboratory - Nuclear Science | Berkeley, California | United States | 3 days ago
accelerators, nonlinear optics, optical spectrometers, and characterization of samples using laser spectroscopy methods. It will require development of experimental systems from scratch, automation
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: 13690 School: Faculty of Arts and Sciences Department/Area: Molecular and Cellular Biology/Applied Physics/SEAS Position Description: Our lab is developing a series of cutting-edge methods to visualize
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execution and administration of research activities on AI and other legal technological developments; and make recommendations on project development and implementation. The fellowship is aimed at recent
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advanced packaging in CHIPS after aging under environmental stresses. The results will be used to understand the failure mechanism, develop more accurate prediction models for long-term reliability