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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
using remote sensing technologies (including UAVs) in the field, etc. - Remote sensing applications, including image analysis and Geographic Information Systems (GIS) - Computer science and informatics
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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/supporting statement, CV and the details of two referees as part of your online application. see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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interests and skills. The postdoctoral scholar will be supervised by and work closely with Drs. Ali Shojaie (http://faculty.washington.edu/ashojaie/ ) and James Floyd (https://gim.uw.edu/people/faculty/James
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
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: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines