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image processing script for automatic analysis of animal and human MRI data. Investigates the opportunities incorporating machine learning in the current DBSI code. Maintains and further develops work-in
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Scheduled Hours 0 Position Summary The Zhao lab is seeking a Research Assistant to prepare, process, and analyze data for preliminary machine learning and deep learning data. The Zhao Laboratory is
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the Pacific Ocean and the seismology of Antarctica. The teaching component will be mentored by Dr. Michael Wysession, Executive Director of the Center for Teaching and Learning, and will involve teaching one
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
. Experience with Git, Docker, Common Workflow Language, and Cloud computing. Deep understanding of concepts and techniques in machine learning/deep learning with Scikit-Learn, Keras, and/or TensorFlow and
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) recordings, administering computer-based neuropsychological tests, and collecting biomedical samples (blood, saliva) from research participants, and performs other duties as assigned by research team
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medical physics, physics, engineering, computer science or a related field. Strong background in image analysis, image registration and/or image segmentation. Strong background in machine learning
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inclusive and equitable working and learning environments for all students, staff, trainees, and faculty. We believe that building a diverse team enriches us individually and as a department by exposing us to
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Job Description Position Summary Our lab has an opening for a postdoctoral research associate. Are you interested in aging, biomarkers, Alzheimer’s disease (AD), machine learning, driving/community
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) recordings, administering computer-based neuropsychological tests, and collecting biomedical samples (saliva) from research participants. Appropriate training for the above tasks will be provided. Communicates
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Job Description Position Summary Our lab has an opening for a postdoctoral research associate. Are you interested in aging, biomarkers, Alzheimer’s disease (AD), machine learning, driving/community