42 algorithm-phd Postdoctoral research jobs at The Ohio State University in United States
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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analysis. Required Education: PhD in Engineering Education or a related field. Desired Education: PhD in Engineering Education or a related field Required Experience: •Conducting and analyzing interviews
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in materials physics and defect properties Required Education: PhD in Materials Science and Engineering Required Experience: Experience with VASP and high-performance computing; A background in
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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instrumentation. It involves supervising the research of graduate students and REU’s, conceiving, composing, writing and editing research proposals, scientific papers and research reports. Required Education: PhD
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biochemistry is preferred. Experience in RNA processing is desirable. Candidates should have a Ph.D. or MD/PhD in cell biology, cancer biology, molecular biology, or biochemistry. Knowledge and expertise in
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undertaken. Minimum Required Qualifications: Ph.D. in wildlife management, biology/ecology, ecosystem or environmental science, or a related discipline At least 1 year post-PhD degree with experience
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and biomanufacturing challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact. Required Education: PhD in Chemical Engineering or
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and presentations at national/international conferences. Qualifications PhD in Data Science, Statistics, Biostatistics, Computer Science, Bioinformatics, or related field. Strong critical thinking and
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State University College of Medicine and the Wexner Medical Center seek PhD Faculty to join the Department of Internal Medicine, Division of Medical Oncology. Academic rank and track commensurate with