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Field
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Engineering, or a related discipline. Proficiency in Java and/or Python programming. Familiarity with software development tools and platforms (e.g., IDEs, cloud environments etc). Demonstrated ability
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and scripts in a Linux environment using C/C++, Python, and Bash. Create supporting documentation for software and systems. Maintain and test new and legacy code. Participate in data collection
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
(chromatin accessibility, histone modifications), and the environment (metabolome, intestinal microbiome) in the onset and progression of the complex diseases. We have performed multiple functional genomics
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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Specialist to join our innovative team. The Research Data Management Specialist will: Manage multiple datasets and corresponding documentation, visualize data, and work closely with the analytic team
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, or Python Proficiency with statistical analysis (descriptive, regression) Intermediate to advanced skills in Microsoft Excel with ability to expand skills as needed Experience with data cleaning, database
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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and with frequent interruptions. Understand and follow directions. Prioritize work and handle multiple tasks simultaneously. Qualifications: Degree in Biology, Medicine, Information/Library Science