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, data collection, and statistical analysis for USDA-funded CEA projects. Prepare technical reports, research manuscripts, and conference presentations to communicate project results. Experience
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, or 1 years of relevant experience required with Bachelor's Degree. Desired Qualifications Masters degree in Nutrition, Public Health or related area; Experience with data analysis, using statistical
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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in a degree programme or a non-degree course (eliminatory factor). b) Applicants must have knowledge of database creation, processing and analysis; knowledge and/or previous experience in the use
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factor). b) Applicants must have knowledge of database creation, processing and analysis; knowledge and/or previous experience in the use of quantitative research methodologies and quantitative analysis
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vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 1 day ago
technology. The postdoctoral researcher will also contribute to the development and validation of identified biomarkers and help assess their potential for CVD risk assessment using statistical analysis. As a
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include project-related research and technical assistance, including literature reviews, drafting and formatting change packages and key driver diagrams, and basic data analysis (dependent on project needs
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methods for the analysis of large-scale genomic, clinical, and phenotypic data, including phenome-wide association studies (PheWAS), statistical genetics, and precision medicine applications. This includes