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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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experiments on the group's custom-built optical microscope (30%); 2. Develop sample-integration strategies that localize biomolecules near quantum sensors, such as supported lipid bilayers, thin atomic-layer
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. Research results are often deployed as widely used open-source software and services. The lab’s work is supported by a portfolio of federal and foundation grants spanning biomedical knowledge integration
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findings in peer-reviewed publications; Ability to work collaboratively across clinical and engineering teams. Normally acquired through a PhD in rehabilitation science, neuroscience, biomedical engineering
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in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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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