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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 5 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering,will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with
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-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve collaborating with faculty and graduate students on interdisciplinary research
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seminars, workshops, and collaborative initiatives. Mentor graduate and undergraduate students involved in research activities. Teach up to one course per academic year, depending on departmental needs
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of ocean science, environmental humanities/environmental studies, and environmental media or science communication. The postdoctoral researcher will contribute to a collaborative research project examining
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learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
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. The position will include opportunities to collaborate with clinicians and researchers studying neurological disorders, develop methods for longitudinally collected positron emission tomography and magnetic
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your
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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms