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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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, complex systems, and network science to develop, evaluate, and implement novel models to support public health decision making needs. Responsibilities Lead and contribute to projects using mathematical and
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and