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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based
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. You will extend our Python-based aircraft design tool, enabling modular designs that incorporate recycled materials and components. Working closely with our industry partners, your work will support
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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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with cell culture techniques. R, Python, or other data science tools for microbiome analysis. Publication record in peer-reviewed journals. Preferred Qualifications Experience with colorectal cancer
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
Python or R is preferred. Ability to analyze multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Create a Job Match for Similar
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C