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https://microbiology-immunology.ecu.edu/ Advertising Department MICROBIOLOGY & IMMUNOLOGY Division ECU Health/BSOM Classification Title Working Title Postdoctoral Scholar Number of Vacancies 1 Full Time
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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benefits package with medical, dental and vision insurance and a UC retirement plan. Salary is commensurate with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu
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continue until the position is filled. The position is available to begin immediately, with a preferred start date before April 1, 2026. How to Submit Application Materials: https://docs.google.com/forms/d/e
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The Chemical and Materials Engineering (CME) Department at the University
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who are empowered to halt the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https
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qualitative methods (interviewing, observing, coding Demonstrated skill with organization and program/project management and oversight Department Unit/Website: School of Education website: https
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Massachusetts Institute of Technology, Institute for Data, Systems, and Society Position ID: MIT-IDSS-PA [#30974] Position Title: Position Type: Postdoctoral Position Location: Cambridge
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis