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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets
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#22 on the US News and World Report ranking of Statistics graduate programs), and Purdue University, an AAU Member, is renowned for its strong science, engineering and agriculture programs
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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the theory, concepts, and approaches used in the Dunn Lab. Experience with designing and implementing research projects that integrate biological and environmental data. Excellent organizational and project
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-author papers in peer-reviewed journals Expertise in the theory, concepts, and approaches used in the Dunn Lab Expertise in statistical analysis methods, such as linear and logistic regression and
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, and past experience at publishing in technical journals. Education Ph.D. in Mechanical, Chemical, Materials Engineering or related field. Experience Applicants should have extensive experience in