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David Miller

Assistant Professor

University of Oklahoma

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United States

Has open position

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Research Interests

Neuropsychology

10%

Optical Coherence Tomography

10%

Mouse Model

10%

Optical Imaging

10%

Medical Science

10%

Neuroimaging

10%

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Positions1

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David Miller

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University of Oklahoma

Postdoctoral Research Associate in Translational Neuroimaging, Glioblastoma, and Multimodal Optical Imaging

Postdoctoral Research Associate opening in the Translational Neuroimaging Lab at the University of Oklahoma in Norman, USA. This is a fully funded NIH COBRE position focused on glioblastoma (GBM) , neuro-oncology, and advanced multimodal optical neuroimaging . The project investigates why GBM resists treatment and how to improve therapeutic response using a cutting-edge imaging platform that combines three-photon microscopy (3PM) , optical coherence tomography (OCT) , and laser speckle contrast imaging (LSCI) . The postdoc will lead preclinical imaging studies in mouse models of brain cancer, tracking tumor cells, immune cells, vascular dynamics, and oxygenation across the tumor microenvironment. The work also integrates spatial transcriptomics and machine learning to predict treatment outcomes. Eligibility highlights include a PhD in biomedical engineering, biology, physics, neuroscience, or a related field , plus experience with in vivo mouse models of cancer . Experience with optical imaging or instrumentation is a strong advantage. The position offers training in advanced multiphoton microscopy, image analysis, scientific/engineering research, and professional development, including grant-writing workshops. Funding details: salary is $55,000–$77,076 depending on experience. The appointment is described as a 1-year postdoc that may be renewed by mutual agreement. The intended start date is Summer 2026 . How to apply: email your CV , cover letter , and 2 references to [email protected] . The post indicates that applications are reviewed immediately, so early submission is recommended. Relevant research keywords: brain cancer, glioblastoma, optical neuroimaging, multiphoton microscopy, translational neuroscience, biomedical imaging, neuro-oncology, machine learning.