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Field
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: How do we enable continuous robot learning in shared
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Apply now Job no:535386 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Planning/Project Management, Geography Department: CAS
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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applied to environmental chemical exposures, type 2 diabetes, kidney disease, and cancer. The ideal candidate will be open-minded, eager to learn, and enthusiastic about engaging in our multidisciplinary
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development workshops for teachers and school leaders on STEAM education, artificial intelligence, science education, language education, self-directed learning and innovation leadership; coordinate and liaise
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research environment. KEY RESPONSIBILITIES & ACCOUNTABILITIES Research and Analysis (50%) Design, develop, and implement mathematical and computational models for disease transmission dynamics Analyze large
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structure determination with x-ray diffraction/scattering/spectroscopy, transport and magnetic property characterization using Quantum Design's MPMS/PPMS and dilution refrigerators. * For 2D materials