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Kaiyuan International Mathematical Sciences Institute Position ID: 3545 -RESEARCHER [#26224] Position Title: Position Location: Changsha, 湖南 410008, China [map ] Subject Area: mathematics
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Kaiyuan International Mathematical Sciences Institute Position ID: 3545 -RA [#26225] Position Title: Position Location: Changsha, 湖南 410008, China [map ] Subject Area: mathematics,statistics and
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knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications E ducation: Ph.D. in Computer Science strongly preferred
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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. Requirements Successful candidates will hold a PhD, MD, or equivalent degree in pathology, immunology, cancer biology, or a related field, and demonstrate a strong record of research excellence evidenced by
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Education/Experience PhD or MD in Microbiology/Immunology, a basic science field, or a related discipline. Must have teaching and research experience with a well-documented publication record. All degrees
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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organizations to understand research requirements and review protocol implementation. Qualifications: (1) PhD in MR physics or engineering, (2) expertise in MR system hardware and software usage, application and
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding