665 parallel-computing-numerical-methods-"Simons-Foundation" positions at Johns Hopkins University
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that the institution remains at the forefront of medical education, integrating cutting-edge technology and innovative teaching methods to enhance the learning experience and maintain position as national leader in
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of numerous projects, including: Acting as the point of coordination between KSAS and JHFRE on all minor and major renovations to our buildings, including classroom, laboratory and tenant fit out renovations
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the technologist is responsible for performing routine analyses and tests on animal or human fluids and/or tissue. Work requires basic use of scientific methods, procedures and techniques gained through previous
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Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires
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data. Run routine and ad hoc reports from research databases. Utilize data cleaning methods to ensure accuracy of data and preparation of tables. Other duties as assigned. Special Knowledge, Skills
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an education program with a strong emphasis in statistics and quantitative research methods. Five plus years’ experience as lead quantitative education researcher. Classified Title: Assessment & Evaluation
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. Experience with quantitative statistical methods. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school
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, and City departments to change the culture of city government. The Data Analytics Manager will create and execute the i-team’s approaches for using quantitative data and methods to understand complex
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, and City departments to change the culture of city government. The Data Analytics Manager will create and execute the i-team’s approaches for using quantitative data and methods to understand complex
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or numerical analysis, and by advising students enrolled in the programs. Successful candidates must have a strong academic background, with a Ph.D. degree in Mathematics, Applied Mathematics or Statistics, and