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Field
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Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution. Good written and oral communication skills. Proficiency in developing deep learning
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system, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Conduct applied research in machine learning, deep learning, and reinforcement learning for optimizing
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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meaningful change in the world. Learn more about American University Department: School of International Service Time Type: Full time FLSA Status: Exempt Job Description: The School of International Service
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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-disciplinary AI research and learning. Incorporates advanced methodologies such as deep neural networks and language/multimodal models, leading the preparation of scientific papers and technical reports
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from date of hire. Preferred Qualifications Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as
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fellowship program in cytopathology. The core responsibilities include performing superficial fine needle aspirations and on-site assessment of guided deep aspirates on both pediatric and adult patients
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administrators, and patient advocates—who bring deep domain knowledge without necessarily having technical expertise. You will play a key role in designing and implementing research projects, analysing data, and
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and/or presentation; may assist in grant writing. Stay informed about developments in the fields of stroke, medical imaging, and deep learning to maintain and enhance your professional expertise. Lab