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across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches
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, or similar, and a degree in Environmental Engineering, Environmental Science, or a related quantitative field. Position 2 will focus on large-scale data analytics and machine learning. Applicants should have
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analytical activities. Activity 1, Conducting experimental research and data analysis in the field of astrochemistry: Setting up and monitoring experimental protocols; Analyzing and interpreting scientific
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thriving, cross-disciplinary multi-national research community. For more information about the School of Geography, Earth, and Environmental Sciences please visit our dedicated webpage at https
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skill in analytical instrumentation and related methods Strong command of technical writing, data reporting, and quality assurance/QA-QC practices Candidates with the following would have an advantage
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contact information for three references to http://indiana.peopleadmin.com/postings/32977 . Applications will be reviewed upon receipt. For Best Consideration Date 05/04/2026 Expected Start Date 08/01/2026
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, please contact Prof Xize Niu (email: x.niu@soton.ac.uk ). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409766/research-fellow-in-… Requirements Additional Information Work
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spectrometry techniques available in the laboratory, as well as optimizing analytical methods if necessary; Performing advanced data processing, including statistical and multivariate approaches, and potentially
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FieldAstronomyEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldAstronomyYears of Research Experience1 - 4 Additional Information Eligibility criteria - Proficiency in various analytical techniques
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neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research