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to) the specific grant funding and the terms of the research grant when extending an offer. Advanced degree (MS or PhD) in Computer Science, Data Science, or related field. Exceptional candidates with a B.S. degree
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on the candidate’s experience and qualification. Candidates should have a PhD in Mechanical, Electrical, Biomedical Engineering, or Computer Science or a related field. We welcome applicants with recent PhDs and
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Experience: Bachelor?s degree in biology, chemistry or other life sciences Master?s in Statistics, PhD preferred Experience with biostatistics software; experience in the use of Stata or R preferred Experience
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, and programming. Responsibilities The selected candidate will have a bachelor's degree (M.S., MBA, M.A., PhD or equivalent graduate degree in information science / engineering / electronics or related
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, initially for 1 year with the possibility of renewal based on performance. The ideal candidate is self-motivated and hard-working with a PhD in synthetic biology, bioengineering, cellular biology, biophysics
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) and writing academic papers in English; A strong quantitative background with solid skills in math, data science, and computer science would be a plus; Candidates should be physically located in
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popular programming languages in statistics and data science. This course will introduce various R programming topics, including R objects, data visualization, data import & export, data manipulation
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introduces basic concepts and techniques for analyzing public health data. It is an applied course emphasizing the use, interpretation, and limits of statistical analysis. Real-world examples illustrate
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should have a PhD in an environmental or biological science and at least one year of college-level teaching experience, though senior graduate students (ABD) will be considered. All applications must be
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The Nonlinear PDE and Fluid Dynamics Laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research associate to work on the mathematical mechanisms underlying singularity