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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
surface characterization techniques. The development of automated pipelines for image-based model construction, registration across measurement modalities, and propagation of data processing uncertainties
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
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opportunities across UNMC. Required Qualifications • PhD in Neuroscience, Biology, Physiology, Pharmacology, or related discipline • Demonstrated experience with rodent stereotaxic surgery (must) • Strong
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the long-acting drugs for various biological applications. Essential criteria include a PhD in Biological Sciences or a related field, with experience mammalian cell culture and small animal in vivo imaging
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Job Description Apply now Job Title: Postdoctoral Associate - Aortic Imaging & Clinical Research Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA
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Job Description Apply now Job Title: Postdoctoral Associate - Aortic Imaging & Clinical Research Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480 FLSA
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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nanoparticles or mRNA for in vivo imaging and to deliver RNA in vivo for disease treatment and cancer prevention. Additional Information: Required Education and Experience: PhD in Biophysics, chemistry
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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify