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implement robust AI control architectures (including advanced topics like deep reinforcement learning) for precise motion planning, complex manipulation, and sophisticated sensing/navigation in dynamic
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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Sessional Lecturer - CTL5704H - Special Topics in Teaching - Urban Education Curriculum and Pedagogy
stakeholders (including school educators, administration, community partners, professional networks). Deep knowledge and experience in contexts, policies and practices of the three divisions (Primary/Junior K-Gr
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of the Department of Business Humanities and Law are organized into different research Units: Entrepreneurship, Ethics and Leadership; Governance, Culture and Learning; and CBS Law. Faculty within these groups have
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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identities will be honored at the University of Washington. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. UW
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Host Institution fluiidd is a deep-tech startup and CEA spin-off developing
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optimization techniques. You have experience with modern Deep Learning Frameworks (PyTorch, Tensorflow, Jax) and proven ability of CUDA and Python programming. Knowledge of, or prior experience with, optimizing