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dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields. Experience with machine learning. Experience with scientific python
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Alpes University Hospital (CHUGA). The role involves a significant amount of computer-based work. Participation in certain patient recording sessions may be required, subject to clinical constraints
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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Institute is a centre for innovation in radiation therapy and medical imaging technologies. We create, share and apply scientific knowledge to improve health by building new technology for cancer imaging and
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(ORNL). As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with
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an excellent training environment. The lab is located within the NYU Department of Psychology which, along with the Center for Neural Science and the Center for Data Science, is home to a large research
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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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to the Structural Anatomy and Rehabilitation Sciences (STARS) PhD program that prepares graduate students to join the workforce as researchers and anatomy educators. The Center also supports numerous K