11 postdoc-data-mining Postdoctoral positions at Purdue University in Ireland-University-Ranking-2024
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Job Description Apply now Req Id: 42042 Job Title: Post Doc Research Assistant City: West Lafayette Job Description: Job Summary We seek a postdoc who will develop an emerging research area at
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independently lead data analysis and writing for an academic audience on topics related to household food management and food waste reduction. For data analysis, we are open to experience with STATA, SAS, R, SPSS
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to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful
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responsibility of the position will involve cleaning and analyzing data and preparing manuscripts from a study in its last year of data collection. This dataset is funded by an R01 from the National Institute
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contact information of at least 2 references The priority deadline is March 31, 2026, but all applications will be considered until the position is filled. Questions about the position can be addressed
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in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful candidate will play an active role in analyzing LZ data, with opportunities to improve
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qualifications and interest in the position and CV. The review of applications will continue until the position is filled. Education PhD in Biological Engineering, Chemical Engineering, Computer Science, Computer
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and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies
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. Application Materials Applicants should submit the following: Cover letter. Curriculum vitae. Contact information for at least two professional references. Applicants are also encouraged to submit the following
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preferred. Demonstrated ability to design, execute, and troubleshoot complex experiments. Skills: Strong written and oral scientific communication skills. Proficiency in statistical analysis, data