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seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, and
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research backgrounds in game theory, mechanism design, artificial intelligence, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those
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students, and generate reports or publications. Qualifications Required Qualifications: -PhD (must have defended thesis) -NK cell biology and gene editing. -Experience with CRISPR editing also required
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: Demonstration of at least one of the following PhD in a relevant field (e.g. design research, service design, mobility design, urban design, transition design) or equivalent level of experience in a different
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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addition to publication record, demonstrated ability to securing external funding is further thought to be an area of strength for a successful candidate. The position requires a PhD degree in chemistry, or closely related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise