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. The successful candidate will also support students in both the BSL-2 and BSL-3 labs. Responsibilities: 80% - Conduct research and provide technical assistance to the PI, postdocs, students, and trainees in
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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are societally impactful. Direct and manage a research portfolio and budgets that includes multiple externally funded grants and awards. Supervise and conduct performance evaluations for project-supported postdocs
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for project-supported postdocs, research staff, and/or students ensuring alignment of research project goals, individual goals, and project proposals with project and organizational priorities Generate
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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, foundation models, image / signal processing, optimization, and control. Optics and Photonics: Expertise in the fields of optics, photonics, nanophotonics, quantum optics, optical materials, devices
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technical procedures (e.g., visual acuity, tonometry, perimetry, imaging) as required by the study protocol, minimizing the need for outside clinical staff support. Create source documents for accurate data
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Pay Range: $62,232 - $65,000: Pay is determined by NIH Postdoc levels of education and experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit
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on Accreditation in Clinical Chemistry (COMACC). This is a two-year program for postdocs or one-year program for MDs. The Program’s principal objective is to educate, train, and prepare clinical chemists to provide
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control techniques like Image-Based Visual Servoing (IBVS). Familiarity with industrial programming environments such as CODESYS. Experience with model optimization techniques (e.g., quantization, TensorRT