24 postdoctoral-computer-optimization 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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) 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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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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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary The postdoctoral fellow will be working as part of a transdisciplinary team on a project working to develop
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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary The postdoctoral fellow will be working as part of a transdisciplinary team on a project working to develop
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the research program. Use synthetic organic chemistry methods to develop and optimize fluorescent indicators and organelle-targeting ligands. Essential Function Yes Percentage of Time 35 Job Duty Design
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Leave Yes Sick Leave Yes Position Description Advertised Job Summary We are seeking a highly motivated postdoctoral researcher to join our interdisciplinary team focused on developing polymers
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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Under general supervision by Dr. Wessinger, the successful applicant for this postdoctoral fellow position
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a motivated full-time postdoctoral researcher. This role focuses on cutting-edge research in soil health, particularly mineral-microbe-plant interactions, through projects studying soil carbon and
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No Sick Leave No Position Description Advertised Job Summary This is a Postdoctoral Associate position in the area of mathematical foundations of data science and machine learning in a boarder sense in