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routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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, educators, students, and professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. We have an outstanding opportunity for a Postdoctoral
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-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https://zhang.faculty.ucdavis.edu/ About the Postdoctoral
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research groups focused on molecular biosensing for point-of-use applications. To learn more, visit MOBIUS website at https://mobius.org.au/ The primary objective of MOBIUS is to accelerate the growth
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core areas of AI and their applications including: Computer Vision, Natural Language Processing, Robotics, Machine Learning, Data Analytics, FinTech, Smart Cities, Connected and Automated Vehicles, Cyber
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computational astrophysics, including experience in numerical methods and machine learning. Research experience at the postdoctoral level, with an established record of publications and impact appropriate
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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to answer social scientific questions. The successful candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning
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Neuro-Oncology http://MathematicalNeuroOncology.org. Working independently but in close cooperation with the Principal Investigator, Dr. Kristin Swanson, and other Research Scientists, the Postdoctoral