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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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community assembly, lignocellulose degradation, and renewable energy research. The current project aims to advance understanding of symbiont acquisition and host-symbiont interaction at the ecological
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to beneficial and pathogenic infection, drug discovery, microbial ecology and community assembly, lignocellulose degradation, and renewable energy research. The current project aims to advance understanding
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious
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dynamic and collaborative team of researchers, we encourage you to apply. We offer flexibility in the research topic for these postdoctoral positions. Our current research interests in the group cover a