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addition to teaching duties, the PhD candidate is expected to conduct research in the field of (deep) machine learning, with applications in either biomedical image understanding (e.g., surgical video analysis in
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Responsibilities This analyst will work under the guidance of investigator in the Center for Biomedical image Computing and Analytics (http://www.cbica.upen n.edu/, CBICA), Aris Sotiras, PhD. The work involves
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neurological disorders, novel applications of deep brain stimulation technology to the treatment of neurological and psychiatric disease, the mechanisms of deep brain stimulation and finally motor and reward
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culture. This tenure-track position is dedicated to advancing cancer research through expertise in cancer data science, focusing on deep learning, artificial intelligence (AI), generative AI, large language
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in research/scholarship and providing a student enabling environment deep and broad experience in effective clinical teaching and learning in an established Medical Program leadership experience in a
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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the Job which include, but are not limited to, Computer Vision, Deep Learning, Federated Learning, and Cloud Computing. Desirable: B1 A comprehensive and up-to-date knowledge of current issues and future
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development. You enjoy supervising and teaching and using your excellent communication skills to inspire the coming generation develop the same deep passion you have for quantum technology. You always have an
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into the School's activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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research leader with a strong record of culturally safe, community‑driven research that advances Aboriginal and Torres Strait Islander health. With deep experience working in partnership with communities