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or in-person; however, appointments are typically 12 months. For a list of potential host facilities, please visit https://orise.orau.gov/marine-energy-research-program/applicants/host-facilities.html
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qualitative research design, data collection, and analysis. Conduct interviews, field observations, and document review. Manage research logistics, including recruitment, scheduling, and IRB compliance. Prepare
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity solicits science proposals for the analysis of NASA mission data to study the middle/upper atmospheres and exospheres of planetary bodies in the Solar System. Proposals may focus
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, tumor biology and hematopoiesis. Job Description Primary Duties & Responsibilities: For additional information about the lab, please visit https://mahajannlab.wustl.edu/ . Information on being a postdoc
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visit: https://www.unr.edu/engineering Additional information is available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu
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. Please visit our website for more information: https://hattori.scripps.ufl.edu/ Expected Salary: Commensurate with experience. Required Qualifications: Requires a doctoral degree in relevant fields (e.g
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numerical data to provide usable information Work Location Henrietta Campus — 100% Employment Category Fulltime Required Application Documents Cover Letter, Curriculum Vitae or Resume, List of References How
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the possibility of extension and career growth contingent on performance and funding . Essential Duties and Responsibilities: Work collaboratively with computer scientists, computational scientists, applied
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information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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for adaptive HDR brachytherapy. Integrate real-time adaptive planning capabilities into an in-house treatment planning system. Implement and evaluate image-guided adaptive workflows using live ultrasound data