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information on our research, please visit: https://mandala.lab.uiowa.edu/ . Located in the heart of the Midwest and just 3.5 hours from Chicago, Iowa City is a beautiful, safe, and collegial university town
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experimental procedures and assisting with data collection and analysis. This role involves working with functional and ELISA assays, preparing reagents and solutions, operating basic laboratory instrumentation
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Precession Electron Diffraction (SPED) into an existing and well-equipped (S)TEM environment and the development of robust data analysis routines to enhance nanoscale orientation and phase analysis in aluminum
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(m.kalkowski@soton.ac.uk ) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409452/research-fellow-in-… Requirements Additional Information Work Location(s) Number of offers
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and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of chemical contaminants in food
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general analytics on data sets in the area of university research activity. Activities include: defining data requirements, data collection, processing, cleaning, analysis, reporting and visualization
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) collection, taxonomic identification, preservation, rearing of Culicidae, and laboratory analysis of samples; v) database management, descriptive data analysis, and preparation of technical-scientific reports
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research study at the Carceral Ecologies lab, applying acquired skills in research data analysis, project coordination, and stakeholder engagement to assignments of moderate scope and complexity. Working
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. The Information Specialist serves as an early-career data analyst, contributing to the preparation, organization, analysis, and validation of research data used in observational, outcomes, pharmacoepidemiologic
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data