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language (e.g., R, C/C++, Java) Proficiency with MS Office and/or Google Suite, particularly Excel/Sheets Strong verbal and written communication skills Ability to work independently and interact effectively
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
proficient in one or more of the following programming languages: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through coursework and GitHub repositories. Postdoctoral candidates
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field. Proficiency in deep learning and exceptional programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly
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learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka
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mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java