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practices. Attend lab meetings, seminars, and participate in departmental and university activities as appropriate. Other Duties as Assigned 5% Qualifications Core Knowledge and Abilities Deep expertise in
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across a diversity of forest types in Oregon and Washington. Employee will learn about forest succession, tree mortality, and post-fire conditions in mature and old-growth forests of the Cascade Mountains
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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional
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a culturally and linguistically diverse background, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful
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Job Description This search is being managed by Isaacson, Miller. For full consideration for this role, please apply at the Isaacson, Miller website at https://www.imsearch.com/open-searches
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, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications ? Substantial expertise in training deep learning models and tuning large
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community college in the Minnesota State Colleges and Universities system. To learn more about our strategic vision, visit http://www.normandale.edu/Normandale2020. Connections working at Normandale Community
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deep learning models to predict and analyze large-scale orbital capability. - Evaluate and optimize the performance of the models, comparing them with traditional orbital analysis methods. Where to apply
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, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch, TensorFlow). Experience working with multimodal
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data processing under redundancy / low-latency requirements. Minimum Job Qualifications Bachelor?s degree required. 1 year of relevant experience required. Deep machine learning & AI skills