22 research-group-software-architecture Postdoctoral positions at University of South Carolina
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) Postdoctoral Researcher Campus Columbia Work County Richland College/Division College of Arts and Sciences Department CAS Physics and Astronomy Advertised Salary Range Salary commensurate with qualifications
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Doctoral Researcher Campus Columbia Work County Richland College/Division Arnold School of Public Health Department ASPH Environmental Health Sciences Advertised Salary Range Salary Commensurate with
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Posting Summary Logo Posting Number TMP00765PO23 Job Code Title Post Doctoral Fellow (Staff) Advertised Title Postdoctoral Researcher Campus Columbia College/Division College of Pharmacy Department
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Doctoral Scholar (2 Positions Available) Campus Columbia Work County Richland College/Division College of Education Department CED Child Development Research Center Advertised Salary Range Salary
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of the department. Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral About USC About University of South Carolina From the Upstate to the Lowcountry, the University
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of the department. Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral About USC About University of South Carolina From the Upstate to the Lowcountry, the University
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. Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral About USC About University of South Carolina From the Upstate to the Lowcountry, the University
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molecules and polymers to understand compositions and interactions with cells. Essential Function Yes Percentage of Time 15 Job Duty Required to collaborate with research groups in Chemistry, Microbiology
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Columbia, SC Part/Full Time Full Time Hours per Week 37.5 Work Schedule Monday – Friday 8:30 AM to 5:00 PM Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral
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of research Job Duties Job Duty Develop software for predictive models for nowcasting local vector-borne disease risk using a variety of modeling frameworks, including mathematical, statistical, and machine