David R. Cardoza-Ochoa
6 days ago
Postdoctoral Fellowship in Functional Lung Imaging (PET/CT) at University of Texas Medical Branch University of Texas Medical Branch in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
No explicit funding details are provided in the announcement. The position is described as a mentored training opportunity for individuals pursuing an academic career.
Country
United States
University
University of Texas Medical Branch

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About this position
The Functional Lung Imaging Laboratory in the Department of Anesthesiology at the University of Texas Medical Branch (UTMB) is offering a postdoctoral fellowship focused on functional lung imaging using advanced PET and CT techniques. The research program aims to understand the early determinants of acute lung dysfunction and injury, with particular emphasis on the effects of mechanical ventilation and systemic inflammation. The lab integrates physiology, quantitative imaging, and translational research in both animal and human studies.
Ideal candidates will have a doctoral degree (Ph.D., M.D., or equivalent) and a strong background in engineering, physics, or other quantitative sciences. Experience in image processing, signal analysis, artificial intelligence techniques, mathematical modeling, and programming (MATLAB, Python, LabView) is highly desirable. This mentored training position is designed for individuals seeking to develop an independent academic career in lung functional imaging.
Interested applicants are encouraged to contact Assistant Professor David R. Cardoza-Ochoa directly for more information. The position offers an opportunity to work in a multidisciplinary environment at UTMB, contributing to cutting-edge research in medical imaging and lung physiology.
Funding details
No explicit funding details are provided in the announcement. The position is described as a mentored training opportunity for individuals pursuing an academic career.
What's required
Applicants must hold a Ph.D., M.D., or equivalent doctoral degree and have strong scientific research experience. A background in engineering, physics, or other quantitative sciences is required. Experience in image processing, signal analysis, AI techniques, mathematical modeling, and programming (MATLAB, Python, LabView) is highly desirable.
How to apply
Interested candidates should reach out directly to the announcer to learn more about the position. Contact via LinkedIn or the provided link is suggested.
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