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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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Position Details Position Information Announcement Number STAFF - VA - 27112 For questions regarding this position, please contact: Dr. Sophie von Fromm [email protected] 406-994-4605
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being entrepreneurial, thinking big, and collaborating to turn the seemingly impossible into reality. If you’re swift to act, confident in your leadership, willing to collaborate, and curious about what
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matter (or other “invisible” new physics signals) at the Large Hadron Collider (LHC) compare high-dimensional collision data against detailed simulations whose likelihood cannot be evaluated, only sampled
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concordance and adverse health outcomes using large -scale healthcare datasets. Working collaboratively with clinicians, researchers, patient partners and data specialists to ensure scientific quality and
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, the University of Southampton and Queen’s University Belfast, is seeking to appoint one Postdoctoral Research Associate at each institution as part of the five-year STFC Large Award “TRANSCEND”. The TRANSCEND
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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-associated virus (AAV)-based gene therapy treatments for inherited retinal disease (IRD). The successful candidate will generate translational research data required to support the preclinical development
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quantitative genetics methodologies for predictive breeding. Key responsibilities will include, but not limited to: Research: Conduct univariate and multivariate statistical analyses of large, multidimensional
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Position Details Position Information Announcement Number STAFF - VA - 27112 For questions regarding this position, please contact: Dr. Sophie von Fromm [email protected] 406-994-4605