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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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unprecedented image quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you
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, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging
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· Salary package: $112,550 - $120,621 (HEW A.6-A.8/ PhD awarded rate) plus 17% superannuation & annual leave loading · Full-time, fixed term appointment until April 2028 · Macquarie University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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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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Candidates must have, or be close to completing a PhD, in bioelectronics, biophysics, tissue engineering, biomedical engineering, mechanobiology, biomaterials, cell biology, or a closely related discipline