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Department: SOM KC Cancer Biology ----- Bossmann Position Title: Technical Director - Preclinical Imaging Core Job Family Group: Professional Staff Job Description Summary: The Technical Director
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 20 hours ago
Previous Job Job Title Academic Breast Imaging Radiologist (Part-time, PRN) Next Job Apply for Job Job ID 61317 Location Columbia Full/Part Time Part-Time Add to My Favorite Jobs Email this Job
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Advance the Future of Epilepsy Care Through Multimodal Brain Imaging Full-time, fixed-term
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Assistant/Associate Professor in Medical Imaging, Specializing in Diagnostic Medical Ultrasound Imaging Overview University of Doha for Science and Technology (UDST) was officially established by
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or experience in digital image processing, computer vision, machine learning, data science, or a related field. Familiarity with Python libraries such as NumPy, OpenCV, Matplotlib, or similar scientific computing
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on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying
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time to join UTA and contribute to its bold vision for the future. Working Title Tenure-Track Assistant Professor in Mathematics (Inverse Problems & Imaging) EEO Statement It is the policy
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 9 days ago
advanced nonlinear optical imaging technique that provides label-free vibrational information about biomedical samples. Broadband laser sources known as “supercontinuum” sources enable the exploration of a
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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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. The research project focuses on the design, development and validation of Artificial Intelligence and Machine/Deep Learning models applied to healthcare, with particular reference to computer vision applied