20 parallel-computing-numerical-methods Postdoctoral positions at University of South Carolina in Ireland-University-Ranking-2024
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, computational, or physical datasets using advanced statistical and computational methods. Develop data visualization products and synthesize findings to support research conclusions. Essential Function Yes
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experience in the area of functional data analysis are sought. Experience with distributional data analysis is desired but not necessary. Skills: Strong statistical and computational skills. Proficient in
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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of physical or electrochemical systems. Strong programming and numerical analysis skills. Knowledge/Skills/Abilities Ability to develop, implement, validate, and analyze computational models of electrochemical
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closely related field. Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems. Background in polymer science, soft materials, complex
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closely related field. Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems. Background in polymer science, soft materials, complex
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Electrical Engineering Anticipated Hiring Range $52,526 - to commensurate with
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Anticipated Hiring Range Salary commensurate with qualifications
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Duties Job Duty Conducting research in polymer materials and process chemistry to generate foundational results for publications and grant proposals. This work will use synthetic and analytical methods
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Duties Job Duty Conducting research in polymer materials and process chemistry to generate foundational results for publications and grant proposals. This work will use synthetic and analytical methods