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Field
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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. The region is home to Scandinavia’s largest university hospital and one of AstraZeneca’s three globally strategic R&D centres. New initiatives such as the GoCo Health Innovation City and BioVentureHub
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designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is among the top 30 performers nationwide
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studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
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management and statistical analysis (e.g., R or similar software) Demonstrated ability to prepare and publish peer-reviewed manuscripts Strong organizational and collaboration skills PREFERRED QUALIFICATIONS
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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communication skills, both written and oral • Strong data analysis skills, including experience with statistical software (SAS, R) • Demonstrated ability to prepare manuscripts, reports, data visualizations
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• Experience with basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. • Experience with data analysis software (R, Matlab, etc.) Salary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with