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should have experience with network modelling and programming. Experience with systematic reviews and meta-analyses is an asset, but not a prerequisite for the position. The successful candidate will work
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individuos que se comprometan en ayudar a todos los estudiantes a tener éxito en el logro de sus metas. El CBC le da un enorme valor a la habilidad de comunicarse efectivamente a través de culturas, para
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Media Campaign Management Support the planning, development and launch of paid media campaigns across digital platforms (Google, LinkedIn, Meta, etc.) to meet lead generation and enrollment goals for CMU
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management. Provide consultation to leadership and internal clients managing affiliated or program-based social accounts. Monitor trends, risks and engagement opportunities to inform proactive strategy
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
, systematic reviews, content analysis, and meta-analysis, and is an added advantage. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina rates among the nation’s
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reports for the National Institute for Health and Care Excellence (NICE ) and the National Institute for Health and Care Research (NIHR ). We also have an active and growing programme of other research
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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 The recruited researcher will be responsible
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population genetics, clinical variant interpretation, and translational neuroscience within precision neurology programs. The position will work within UTA’s Center for Innovation in Health Informatics (CIHI
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
mammalian genomes, testing how adaptive change affects viral binding and cell tropism. Use ontology and meta-analysis approaches to highlight cell surface and endosomal proteins not previously linked to virus
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based on electronic medical records. It is also attractive for novel applications, e.g. multimodal applications in meta-verse, which have little data for training and evaluation. This project focuses