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, United States of America [map ] Subject Area: Artificial Intelligence, Machine Learning and Autonomy / Ethics Appl Deadline: (posted 2024/11/22, listed until 2025/05/22) Position Description: Apply
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University's Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and
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challenges facing the nation. We are seeking a full-time Distinguished Scientist, Artificial Intelligence and Machine Learning, who will support the Cyber Resilience and Intelligence Division (CRID) in
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Experience with machine learning, data mining and data assimilation is a plus Knowledge of git, docker, kubernetes, and/or metadata is a plus Ability to work within a team Excellent interpersonal and
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Job Description Apply now Job Title: Intern/Aide- Machine Learning Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $15/hour FLSA
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Compensation $15 Limited Term End Date Position Summary Serves as the first contact for the department. Duties & Responsibilities Greets and directs prospective students and visitors; routes telephone calls; and schedules appointments. Coordinates daily activities of the front desk, which...
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of Public Policy seeks applicants for a one-year Predoctoral Scholar - Machine Learning Data Scientist position. The ideal candidate will have core interests in education research. The successful candidate
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate