David R. Cardoza-Ochoa
6 days ago
Senior Research Scientist in Functional Lung Imaging (PET/CT) at University of Texas Medical Branch University of Texas Medical Branch in United States
Degree Level
not provided
Field of study
Computer Science
Funding
Available
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 seeking a highly motivated Senior Research Scientist to join their team. The lab focuses on research into the early determinants of acute lung dysfunction and injury, particularly those related to mechanical ventilation and systemic inflammation. Utilizing advanced PET and CT imaging technologies, the group conducts translational research in both animal and human models, integrating physiological measurements with quantitative imaging science.
The ideal candidate will have a PhD and 3–5 years of relevant research experience, with a strong background in engineering, physics, or other quantitative sciences. Expertise in signal processing, image analysis, AI-driven methods, image registration, numerical modeling, and tracer kinetics is essential. Strong programming skills in MATLAB, Python, and LabView are highly desirable. Experience in animal or human research, including clinical studies, and a solid understanding of respiratory pathophysiology are preferred. The position is well-suited for individuals committed to building an independent academic career in lung functional imaging.
The research environment at UTMB offers opportunities for multidisciplinary collaboration and the advancement of imaging science in medical research. Interested candidates are encouraged to reach out directly for more information. For further details, visit the LinkedIn profile of Dr. David R. Cardoza-Ochoa or the provided application link.
Funding details
Available
What's required
Applicants must hold a PhD degree with 3–5 years of related research experience. A background in engineering, physics, or other quantitative sciences is required, with advanced expertise in signal processing, image analysis, AI-driven methods, image registration, numerical modeling, and tracer kinetics. Strong programming skills in MATLAB, Python, and LabView are highly desirable. Experience in animal or human research, including clinical studies, and a solid understanding of respiratory pathophysiology are preferred. Candidates should demonstrate a creative, systematic approach to complex problem-solving and the ability to work both independently and collaboratively within a multidisciplinary research team.
How to apply
Interested candidates should reach out directly to the lab or the announcer for more information. Visit the provided LinkedIn link for further details. No formal application portal is specified.
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