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project. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods
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. • Integrate data driven methods into a framework for uncertainty-aware ocean state estimation. • Apply and validate the framework using datasets at experimental sites. • Publish research in peer-reviewed
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cells Experience working with organoids Experience with confocal imaging Experience with molecular biological standard methods (extraction of DNA, RNA and proteins, immunoblotting, ELISA) academically
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Radiology faculty collaborator, to define and address clinically meaningful research problems. • Design, implement, and evaluate machine learning and AI methods for medical imaging using real-world clinical
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reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work
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that will contribute positively to the evaluation These should be documented in the application: Knowledge of methods and models within the chosen field. Publications of research in recognized international
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/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE
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behavior, both retrospectively and prospectively. These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
- $55,000 Proposed Start Date 09/05/2022 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! Primary Purpose of Organizational Unit The UNC School of Medicine has a rich tradition