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statistical mechanical theory. Collaborations with internal and external fusion efforts will be strongly encouraged. The successful candidate will be mentored and teamed with staff in the National Center
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large
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applying and teaching data science and/or computational social science using techniques such as (but not limited to) statistical analysis, geospatial analysis, textual analysis, automated content analysis
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although not be limited to Target Trial Emulation and Mendelian randomisation. You will be part of a growing and dynamic team which is involved in many aspects of data science, epidemiology, statistics
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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of experience with review of data for qualitative themes. 1 year of experience with sterile technique, basic statistical competency, good communication, and collaboration skills. Pay and Benefits Pay
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
perturbative matching. Experience with lattice QCD software frameworks (e.g., Chroma, QUDA, Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem
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, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook . Qualifications Required: A Ph.D. in data science, mathematics, statistics, computer science, biology
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and