316 phd-studenship-in-computer-vision-and-machine-learning Postgraduate research jobs
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, substance use issues, dual diagnoses, HCV, and HIV/AIDS Experience with organization and verification of data sets Basic computer (database/word processing/internet) skills Classified Title: Research Program
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We are seeking a Research Program Assistant to be a part of the research team in the Division of Pulmonary and Critical Care Medicine. This position will be involved in data collection, entry, and
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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Data Science, Computer Science, Biological Sciences or related field At least 1-2 years of relevant experience in machine learning model development, preferably involving biomedical signals or clinical
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department will be launching a Bachelor of Arts (Hons) in Philosophy and AI Programme from 2025-26 and offers the Master in Arts 'Artificial Intelligence and the Future' in conjunction with the Hong Kong
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the Associate Dean (i.e., Person-in-Charge of the Division of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer
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equipped with telephone, computer and furniture will be provided. The position is in the School of Population and Public Health (SPPH), which is in the Faculty of Medicine at the University of British
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Researcher (R3) Country Australia Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 75% Develop, implement, and test new algorithms and tools for agricultural water
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: signal processing, advanced data analysis, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience