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a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in health service research, advanced data analytics, digital health innovation, and/or big data
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Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule methods. The ability to carry out analytical procedures
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analytical procedures that are applied for proteome characterisation to a high degree of precision; able to analyse quantitative proteomic data with a degree of statistical rigour using common freely available
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to sponsored research projects with industry partners; develop innovative analytical and computational methods; publish findings in leading academic journals; mentor graduate students; support graduate-level
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, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software. Demonstrated experience contributing to manuscripts, scientific abstracts, reports, or grant applications
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analysis and interpretation of the results obtained. Depending on the profile of the successful candidate, the work may include, in particular, the development of analytical models, the numerical solution
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functional theory (DFT) calculations of NMR parameters, powder X-ray diffraction, and other complementary analytical techniques. The postdoctoral researcher will be responsible for planning and conducting
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Schot at Utrecht University. ACT aims to accelerate the transition towards a circular society in the Netherlands by 2050 through the development of historical and systemic approaches, analytical tools
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environment that uses cell culture, organoids, microphysiological systems, or related work. Professional Competencies • Demonstrated analytical and critical thinking skills. • Demonstrated record of scientific
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in the development of performance standards, selection of methodology, and coordination of the analytical and procedural functions with the research areas to ensure conformance with the goals and