18 phd-computational-mechanics Postdoctoral positions at University of South Carolina
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Advertised Salary Range Commensurate with qualifications Location
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(Ph.D.) degree in area of research specialty. Required Certification, Licensure/Other Credentials Preferred Qualifications Preferred PhD in environmental sciences; such as Ocean Sciences, Ecological
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the cellular and molecular mechanisms that mediate dietary protein sensing and communication by ovarian and adipose tissues. The candidate will utilize Drosophila melanogaster as a model system and employ a
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the cellular and molecular mechanisms that mediate dietary protein sensing and communication by ovarian and adipose tissues. The candidate will utilize Drosophila melanogaster as a model system and employ a
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Preferred Qualifications PhD in polymer chemistry, materials science, microbiology, or a related field with expertise in antimicrobial research. Knowledge/Skills/Abilities This position requires knowledge
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Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with colleagues and/or external stakeholders. Knowledge
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molecules and polymers to understand compositions and molecular weight. Thermal and mechanical properties of polymers Essential Function Yes Percentage of Time 20 Job Duty Required to collaborate with
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Advertised Salary Range Salary commensurate with qualifications
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emerging mathematical foundations in Data Science/Machine Learning. Programming and computing capabilities in at least one programming language is required. It is also desired to have prior knowledge in
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Investigator (PI) pursuing metabolism and immunology-based research. Study projects focus on the mechanisms involved in high fat diet-induced colorectal cancer with emphasis on immune function, metabolism, and