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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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HRS2025/180 Investigador en procesado de imagenes médicas / Researcher on medical imaging processing
radiologic, histopathologic and clinical data biomedical image processing using deep learning techniques. Where to apply E-mail mj.ledesma@upm.es Requirements Research FieldEngineering » Biomedical
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Engineering and Cybernetics VSB -Technical University of Ostrava. The successful candidate will carry out research in the field of Biosignal processing and medical images processing under supervision of prof
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images processing under supervision of prof. Marek Penhaker (https://orcid.org/0000-0001-9527-4642 ). This position requires knowledge related to modern methods for biosignal processing, preferably medical
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HRS2025/128 Investigador en procesado de imagenes médicas / Researcher on medical imaging processing
de algoritmos de segmentación de imágenes biomédicas, comparación de métodologías con y sin restricción de forma. ---------------------------------- Development and validation of biomedical image
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Learning in Medical Image Processing Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034 for Exempt and $31.97-38.34 for Non-exempt. See the Exempt Table and the Non
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, Tensorflow. Specific Requirements Biomedical Image processing background Knowledge in statistical methods,,deep learning and programming languages Experience with blood cancers data / Experiencia en el
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years (10 points), < 3 years (5 points). • Other merits (max. +5 points). E.g.: recommendation letters. Eligibility threshold: 60 points. Selection process In accordance with article 8 of the REGULATORY
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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(EM) to join our multidisciplinary team. The successful candidate will lead EM-based investigations and contribute to the development of advanced imaging protocols. This position offers access