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Field
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uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods
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biomarkers, and electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross
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unique opportunity to demonstrate the effectiveness of the Corstonian ‘one stop’ shop model. The overarching aim of the research agenda is to identify the ‘core offer’ that distinguishes the unique support
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cleaning clinical trial data to ensure accuracy and readiness for analysis, as well as performing systematic checks and data management for missing or inconsistent data. The candidate will also be expected
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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strong academic preparation and experience in both experimental and modeling research work documented by corresponding journal publications, and is expected to perform the following tasks/duties
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of CRISPR/Cas9 gene editing, generating mouse models is cost prohibitive and largely inaccessible. To circumvent this, we developed a highly efficient electroporation-based editing technique called CRISPR-EZ
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participants. Postdoctoral fellows will receive support for professional development and skills training to advance manuscript writing, data analyses, presentation acumen, and research models. The primary mentor
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation