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addressing research questions relevant to data science, biology, and agroecology the aim is to improve data flows and create knowledge graphs and future visions of landscapes. The tasks will encompass
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, motion tracking, and computer vision methods, we study both typical development (with a strong focus on adolescence) and atypical social behaviours in clinical populations to improve the understanding and
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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technologies have demonstrated remarkable performance in areas such as computer vision, predictive maintenance, anomaly detection, quality inspection, forecasting, and decision support, their adoption in
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events, mentoring junior scholars, and supporting ongoing field-building efforts by Dr. boyd’s team. Requirements PhD in the social sciences, STS, history, or relevant field and have conducted significant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
students, and collaborate with AI faculty in vision, robotics, and machine learning across the department. Minimum Education and Experience Requirements Applicants should have, or expect to receive before
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. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related field; A strong publication record in
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theory. Candidates possessing or expecting PhDs in English Literature or related fields no later than July 1, 2027, are invited to apply. The faculty member who joins the department can expect to
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Engineering, Computer Science, Artificial Intelligence, Computer Vision, Mobile Robotics, Machine Learning, Data Science and Analytics, Applied Mathematics. Location: Taicang, Greater Suzhou, China ABOUT XJTLU