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control of the invasion process, modification of microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image
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guidelines. The role requires expertise in hyperspectral imaging, chemometrics, and remote sensing data analysis, as well as proficiency in ENVI and specialized hyperspectral processing software. Where
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Department: Diagnostic Radiology Location: Health Sciences Center Time Type: Full time Worker Type: Regular Term (Fixed Term) Job Req ID: R109345 Position Description: Diagnostic MSK Imager needed
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of Electrical and Computer Engineering offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http://www.ece.hku.hk The Position We now invite applications
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 13 days ago
proximal optimization algorithms to solve it. Understand the principles of HM-CARS imaging and the challenges of data processing for muscle disease characterization. Explore the dataset and implement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
technologies, and provides an immense base of expertise, equipment, and training opportunities. The resources of the UNC Biomedical Research Imaging Center, the UNC School of Pharmacy, the Lineberger
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Overview We are seeking an enthusiastic Research Associate (Research Associate 2) to join the Medical Imaging Team in the Division of Clinical Medicine and the INSIGNEO Institute for in silico
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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. The project therefore offers the opportunity to work at the intersection of medical imaging AI, methodology and European regulatory science within an international consortium. Where to apply Website https
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Biology (CBM) offers advice, technical support and training in advanced optical microscopy and image analysis, providing comprehensive support throughout the entire experimental process, from sample design