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Qualifications PhD. required. Additional Qualifications Experience/interest in programming language, verification, artificial intelligence or machine learning. Individuals with a demonstrated track record in
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community health concerns and incorporate this information into the evaluation of potential health risks associated with environmental exposures. Learning Objectives: You will have the opportunity to: Gain
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activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and
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disease burden. Using these findings, you will learn to develop analytic approaches and research products that strengthen the Registry's ability to monitor ALS nationally and support evidence-based research
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linguistics, semantics, syntax, pragmatics, computational linguistics, phonology, or sociolinguistics. We would like to see candidates who can communicate with and learn from both linguists and scholars in
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+ Youth and Families Testing Services for ADHD, Learning Disabilities, and ASD Clinical Supervision Job Summary The University Center for the Child and the Family (UCCF) at the University of Michigan is
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied
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: Deep commitment to learning about the natural world, biodiversity, and conservation. Independent: Comfortable working outdoors, when necessary, in the UM-Dearborn Environmental Study Area. Core Skills
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 19 hours ago
focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices. As a fellow, you will have the opportunity to learn about
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, you will receive hands-on learning within the USACE hydrological research domain, with a focus on gaining experience on process-based flood frequency analysis and interagency collaboration between USACE