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, PET/CT, and CT. The technologist is responsible for maintaining consistent high quality diagnostic images, making technical adjustments when indicated. b. Quantitative computer analysis on images is
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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using fine motor skills. Dependability. PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic
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Technology , and National Center for Supercomputing Applications . A doctoral degree or equivalent terminal degree in computer science, electrical and computer engineering, or a related field is required
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skills and interest in analysis of audiovisual materials (including sound, images and video). The fellow will work closely with the WMP Co-Directors, WMP’s Program Manager, and QAC faculty and staff
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Bioinformatics / Science Data Science / Data Science Cognitive Science Computer Science / Learning at Scale Quantum Machine Learning Computational Science and Engineering / Natural Language Processing Data
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preferred. Experience: Two years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not in MRI
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discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
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programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks:The successful candidate will pursue
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Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications