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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written) and interpersonal skills, experience working in a
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Posting Details Position Information Job Title Postdoctoral Fellow - Ecology of Harmful Algal Blooms Posting Number P1747F Position Summary Information Job Description Summary The School
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artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate
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of Chemistry in the College of Arts + Sciences, consists of a well-rounded research community with cutting-edge expertise in a wide variety of modern disciplines including materials chemistry, analytical
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the US Naval Observatory. For more information on the department, see http://physics.gmu.edu. George Mason University, a Carnegie Research I institution, is Virginia's largest and most diverse
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a focus on data analytics, AI, ML, advanced process control, and digital twin technologies in semiconductor manufacturing. Experience with handling industrial big data problems, physics-informed AI/ML
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journals. • Demonstrate good organisational and analytical skills. • Responsible, detail oriented, and perfection-seeking. • Must be able to self-motivated, able to work independently, as well as in
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and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry