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outcomes will be captured in a structured, machine readable dataset to support AI model development and give feedback on material realizability. Where to apply Website https://www.academictransfer.com/en
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practices for code management in Git, including branching strategies, pull requests, and documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable
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platforms Contribute to research proposals and peer-reviewed publications Primary Platforms May Include ArcGIS Pro CityEngine Python-based geospatial processing ecosystems Cesium and 3D Tiles
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experience in neurophysiological signal processing and quantitative data analysis . Strong programming skills in Python , including the development of reproducible data-analysis pipelines. Experience
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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, oscillation, response-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB , R, or related computational environments
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various projects on robotics and computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 1 month ago
machine learning approaches to identify disease-associated transcriptomic signatures relevant to Crohn’s Disease and Ulcerative Colitis. Work will be performed in Python and R on HPC infrastructure, in
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related discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position
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-level object-oriented programming and scripting languages, such as Python, C++, Java Experience with high-performance computing environments. Understanding and experience with Python frameworks, such