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://careers.purdue.edu/job/Post-Doc-Research-Associate/34146-en_US/ Application reviews will begin on November 15th, 2024. Education The applicant should have: a PhD, or is expected to complete a PhD within a year, in
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Dr. Foti. This position is through a NIH-funded project involving remote collection of laboratory-grade data from children with congenital Zika syndrome (CZS) to evaluate the progression of new
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NeuroDevelopmental Assessment). PANDABox is a NIH-funded, open science protocol for remotely collecting laboratory-grade data from children at risk for atypical development via telehealth. Dr. Kelleher’s team recently
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. Additional information is at https://engineering.purdue.edu/AAE . Purdue Engineering is one of the largest and top-ranked engineering colleges in the nation and is renowned for top-notch faculty, students
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generation for the farmers in the business of producing the world’s agricultural products. For more information on the Center’s activities, visit: https://ag.purdue.edu/commercialag Application Process
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the research faculty are available, and more information can be found in the Procedures for Research Faculty Appointment, Review, and Promotion linked here: Office of the Provost - Purdue University https
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for an outstanding, passionate and driven postdoctoral research associate to work on an applied nuclear research project. The main focus of the position is the analysis of data collected with photon spectrometer
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources for data
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the Standard Model sectors. The successful candidate is expected to work on the design and construction of the CMS Tracker Forward Pixel Detector (TFPX) and to complete physics analyses using collision data from