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, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database
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analysis is often conducted without a proper assessment of its effects on thermal comfort, or appropriate OTC metrics are applied only to evaluate thermal sensation under near-stationary conditions
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a skilled Data Analyst to support gynecologic cancer health equity research through data management, statistical analysis, and collaboration on multidisciplinary research projects. Data Analyst
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of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in
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the facility. Provide expert-level user support, including training on instrument operation, assisting with sample preparation, method optimization, and complex data analysis. Adapt and optimize advanced
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power analysis (expected level: high) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5263-ANNCAM-076/Default.aspx Work Location(s) Number of offers available1Company
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extensive experience in: research with humans/biological samples; exome and variant analysis; Bulk RNAseq data analysis; immunoenzymatic assays (ELISA); structural bioinformatics (docking, modelling
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) will contribute to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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well as temporary staff or per diems as required. Serves as coach, mentor, and subject matter expert to other administrative staff within the department for their work related to finance, analysis, and our time