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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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scientific manuscripts tied to your research. Keep detailed and organized records of experiments, protocols, and both raw and analyzed data per lab standards. Ensure the workspace is organized, clean, and
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needs, and/or psychosocial oncology issues. The postdoctoral researcher will be primarily responsible for working collaboratively on research grant proposals, conducting data analysis, writing-up
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: Conduct a systematic bolted flange research program. Experimental data on bolted joints and engine test data will be collected and analytical models will be developed for model verification and validation
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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research tasks, including experiment setup, data collection, and analysis. Recommend and implement improvements to existing methods and processes. Contribute to research publications and technical
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, data collection, and statistical analysis. Assist in managing and maintaining research databases and methodological resources, ensuring accessibility for CTN+ investigators. Support the planning and
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configurations) Design and set up experimental apparatus (including optical diagnostics) Plan, coordinate, and conduct experimental campaigns Process and analyze data Write conference and journal articles Present
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current CV, (iii) a PDF copy of publications or a list of links for online access to publications, with two primary publications specified; (iv) the names and contact information of at least two references