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) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record, preferably in logistics or operational research fields; and (d
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proficient in the CARLA driving simulation platform and using various map application programming interfaces; (d) possess strong programming skills in Python, Java and other languages; and (e
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an advantage; (c) good teamwork and interpersonal skills; (d) proficiency in the Python programming language, including familiarity with the main libraries for textual data processing and web scraping; and
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, applicants should also have: (a) strong interest in deepfake detection, voice security, speech privacy and spoken language processing; and (b) experience in Python or other scripting languages for system
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-on skills, with some project development or experimental experience, and the ability to participate in algorithm design, validation, and system integration; (d) proficiency in Python, C#, C++ or other
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-quality academic publications in the field of child language development; (e) be proficient in major programming languages commonly used in experimental linguistic research (e.g., R, MATLAB, Python); (f
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at the time of application; (b) have extensive experience in the field of natural language processing; (c) have good working knowledge of Python, Pytorch, Linux, Git, etc; (d) have a good command of
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background in 3D perception, including segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability
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management or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record