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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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Presentation skills Analytical skills Attention to detail Preferred Qualifications: Willingness to work with large animal models Experience with tissue culture and primary cell isolation Knowledge
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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, molecular biology, immunology, pharmacology. Attention to detail, ability to record and manage large data files, and ability to coordinate assignments on a day-to-day basis. Contact information for three
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
include: * Designing and carrying out studies; * Analyzing and interpreting data; * Publishing papers describing these results, all with the mentor. Career development of the Postdoctoral Trainee will be
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. Medical, prescription drug, dental, vision, life and
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experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all
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research focused on advancing Precision Menopausal Hormone Therapy (P-MHT) for women worldwide. Integrate and analyze large-scale human datasets, including electronic health records, claims data, and omics