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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Learning in Health and work closely with both laboratories; and will design and execute research studies, analyze experimental data, collaborate across the research teams, contribute to publications and
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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We are seeking a creative and motivated neuroscientist to investigate the mechanisms of flexible learning and decision-making. The postholder will join the Adaptive Decisions Lab (Principal
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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About Mohammed VI Polytechnic University (UM6P): Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system
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to principal investigators. You will plan, design and deliver strategic development opportunities for research staff across the University, working to agreed priorities that have the research staff experience
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Machine Learning Systems at MSU. We are seeking candidates in any area of research related to developing AI techniques, tools, scientific theories, as well as design and policy recommendations
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, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We
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for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend foundational theory of how large ML systems can be regularised to have dramatically fewer trainable
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learning and benthic systems. This position offers an opportunity to contribute to cutting-edge research, particularly advancing the use of remote sensing datasets and machine learning for constructing