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of metabolism and signaling in healthy and diseased cells. The postdoctoral researcher will join an interdisciplinary team with strengths in physics, chemistry, and molecular biology. The existing team has
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LevelPhD or equivalent Skills/Qualifications We are seeking highly motivated candidates with one of the following profiles: Applied Mathematics, Signal Processing, or Computer Vision: A PhD in these fields
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the p53 tumor suppressor pathway and cell signaling growth pathways. The successful candidate will contribute to cutting-edge research exploring the links between DNA damage, RNA processing, and
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our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point
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motivated Postdoctoral Research Fellow with strong expertise in computational and network modelling to join a growing, interdisciplinary research program in computational systems oncology. This is a broad and
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, additional researchers across Centers at the Lab of Ornithology including an extensive network of postdoctoral scholars (~25), researchers at Cornell University, and researchers external to the University
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including an extensive network of postdoctoral scholars (~25), researchers at Cornell University, and researchers external to the University. An essential job function is interfacing with the broader research
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, MATLAB, and R, combined with experience in signal and image analysis, as well as familiarity with electronic health data, will be distinct advantages. https://www.bcm.edu/departments/surgery/research/atlas
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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environment to study these topics given its expertise in Machine and Deep Learning, Computer Vision, Signal Processing, and Multimedia. Also, its declared vision to work especially in presence of imperfect data