13 computer-algorithm-"UNIS" Postdoctoral research jobs at University of South Carolina in United States
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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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Doctoral Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Advertised Salary Range Commensurate with qualifications
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Doctoral 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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, implementing, and evaluating a community outreach STEM program for Columbia, SC participants. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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, implementing, and evaluating a community outreach STEM program for Columbia, SC participants. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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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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within the research team, ensure accurate interpretation of results, and support the effective communication of scientific findings. Providing guidance on statistical and computational tools, reviewing
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computing and version control (e.g., GitHub). History of working in cross-disciplinary teams and engaging non-scientists stakeholders. Knowledge/Skills/Abilities Knowledge: A strong working knowledge of
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computing and version control (e.g., GitHub). History of working in cross-disciplinary teams and engaging non-scientists stakeholders. Knowledge/Skills/Abilities Knowledge: A strong working knowledge of