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Endometriosis Study” (ARCHES) (R01HL164715). The Postdoctoral Research Associate I, under guidance of our team of Principal and Co-Investigators, will be responsible for analyzing complex health-related data
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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XRD, and the analysis of complex materials datasets · proficiency in quantitative analysis, computational methods and programming, with experience in AI, machine learning or data-driven materials
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
activities may include analysis of whole-genome and next-generation sequencing data (including quality control, variant calling, annotation, filtering, genetic association, and biological interpretation
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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of clinical outcomes, and meta-analysis methodology. These efforts are expected to result in collaborative and methodological publications in high-quality, peer-reviewed journals. Minimum Requirements Doctoral
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microtomography) and exploit image segmentation and analysis tools available within the team. - Perform mechanical characterizations at different scales and analyze deformation and failure mechanisms. - Develop and
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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collection with informal caregivers, healthcare professionals and other stakeholders, register and retrieve data from REDCap. Analyse qualitative data using, for example, reflexive thematic analysis
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; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in