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good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (Pytorch, Tensorflow or similar) Motivation and Initiative Interest in explainable
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programming languages such as Matlab, Python, C/C++. Familiarity with cloud computers. Experience with MRI and medical physics. Desired Qualifications* Familiarity with Docker and Kubernetes, and their
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bioinformatics or a related biological sciences discipline with substantial programming experience, especially in R or Python, and a robust background in cancer immunology, spatial-omics, and ex-vivo techniques
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of ETL process between databases. Experience in one of these: R, SAS or Python. Experience working in a Windows and LINUX/UNIX environment. Experience with troubleshooting data-related issues using logical
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levels in subjects such as Financial Management, Portfolio Management, Financial Programming, Python, Machine Learning in Finance, and Econometrics. Develop high-quality teaching materials and contribute
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. Strong proficiency in Java and/or Python for data-intensive applications. Proficiency in web application development and data-based engineering Proficiency in best practices in database design and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
programming languages (e.g., Python, R, C++). The individual should have the ability to foster partnerships across diverse areas of research expertise and the ability to facilitate collaboration with other
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Abilities: Extensive professional experience in one or more of the following areas: Creative technology in the relevant industry, such as the Adobe Creative Suite, Figma, Python, Houdini, Unreal, etc. Proven
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at least one of: basic Python or SQL, spreadsheets for data wrangling, or no-/low-code automation tools. Awareness of data privacy, accessibility, and ethical use considerations; willingness to follow
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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the