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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
associate to investigate innovative methods for linking environmental data, clinical research data, and EHR and other real world data in a secure cloud environment to support biomedical research. Specifically
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Advisor: Mónica
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Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of creating robust radio frequency
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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful
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-funded research program focused on inhalation toxicology and immunotoxicology, with an emphasis on the cellular and molecular mechanisms of lung disease in susceptible subpopulations. Research in the lab
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CONTEXT: Understanding biodiversity and its dynamics is
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader