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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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reactive balance in these exceptionally resilient individuals. Motivated PhD graduates with a strong background in human systems neuroscience are encouraged to apply. Position Details: Fully funded
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experience in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
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students, postdoctoral fellows and other trainees. Qualifications Required Qualifications PhD in Neuroscience, Immunology, Vascular Biology or related field An excellent track record of publications
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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methodological needs of microbiome scientists. Software, outreach and training complement their research mission. The StatDivLab is seeking a Postdoctoral Scholar with PhD-level training and research experience in
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field