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candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation of grant proposals, progress reports, and peer-reviewed
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at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science
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and statistical analysis sections (including power analysis) for research grant proposals. •Work effectively with other members of the research team. Earned a doctorate (PhD, MD/MPH, etc.) in health
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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Nursing (MSN), Doctor of Nursing Practice (DNP), and PhD in Nursing. Our programs are designed to meet the evolving demands of today’s healthcare landscape, equipping graduates with rigorous training
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Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or related disciplines with
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related field (e.g., geography, resource