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, Bioengineering, Biophysics, Biostatistics, Mathematics, Statistics, Electrical Engineering, Biomedical data science, etc; Candidates with multidisciplinary backgrounds are also welcome. Strong skills in
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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experience in mathematical modelling, computational methods, and programming is a plus. · Track record of publications and scientific presentations. · Ability to effectively communicate and
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to advance the application of computational hemodynamic models of cardiovascular flow to aid in remote tracking and early diagnosis of disease. The applicant will gain exposure to other projects in the lab