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degree in a biological science, health science, or related field, or equivalent combination of education and relevant experience. Proficiency in digital and computational pathology, AI/ML algorithms, and
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and health care operation pathways. The position will participate in designing and developing algorithms to model complex systems, meeting with end-users and key stakeholders to understand operational
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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to developing technology to facilitate the data collection and analysis. The individual will be expected to collaborate effectively with members of the de Hemptinne Lab and other teams to facilitate program
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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, commensurate with education and experience. Minimum Requirements: PhD in related field of study; Prior experience in computational research/developing mathematical algorithms. Preferred Qualifications: Special