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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
, multi-stakeholder projects. * Proficiency with data and visualization tools such as Excel, Power BI, or Tableau. * Knowledge of project and change management tools and methodologies. * Strong analytical
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-oncological risk assessment Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a
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work includes delivery of in-person and remote training workshops, development of materials to gather feedback data (including online tools), accessibility testing of materials, data gathering, analysis
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thematically with historiographic analysis and identification of research gaps; c) a visual and relational mapping showing geographic distribution, thematic clusters, existing networks, and gaps in
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Intelligence Position Type: Full-Time About BioCentury BioCentury provides independent deep-dive analysis, high-quality data, and high-impact networking events for biopharmaceutical executives and investors in
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scientific ideas into advances that improve human health. Within this mission, the Bioimage Analysis Infrastructure Unit of the National Facility for Data Handling and Analysis at the Human Technopole (HT) is
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Access and academic publishing landscapes. Data analysis skills (eg data visualization). Highly organised - e.g. able to schedule multiple priorities, stick to deadlines and manage time sufficiently
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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analysis and multi-omics data integration workflows using Python/R Integrate digital pathology data with omics data (e.g., MS-based proteomics, spatial proteomics) Develop and drive independent project ideas
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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users