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an interest in working at the intersection of environmental epidemiology, multi-omics, and maternal and child health! This individual will have the opportunity to work with data from multiple cohorts
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community assets using multiple data sources and spatial tools. The role emphasizes project leadership, transdisciplinary research across environmental, social, and political sciences, and interaction with
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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skills. Multiple resources for career development to aid with these requirements will be provided by the PI and the Office of Postdoctoral Affairs. Among the key duties of this position are the following
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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nonlinear inverse Compton scattering and from extreme beam-multifoil collisions (eg in the E-332 experiment at SLAC). The project will include the development of advanced measurements and detectors
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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advanced testing procedure and performs analyses of data. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute to grant proposal development. Ensures
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motivated Postdoctoral Associate to contribute to multiple projects focused on the contributions of genetic and environment influences to the development of substance use and disorders and related behavioral