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of Tasmania is dedicated to expanding the number and diversity of domestic and international partnerships and learning abroad opportunities, developing mutually beneficial partnerships that support our teaching
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& Influence: Strong leadership presence, capable of influencing stakeholders at all levels of the organization and driving adoption through effective communication and training. Adult Learning Principles: Deep
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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academic research, scientific inquiry, and the pursuit of new knowledge in data science, or biomedical informatics. Strong programming skills and familiarity with deep learning platforms. Experience
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: Experience with probabilistic graphical models, time series analysis, or deep learning Familiarity with reproducible research practices and open-source collaboration Interest in interdisciplinary applications
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Functions Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets Modeling plant growth, carbon allocation, stress response (e.g
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University of California, San Francisco | San Francisco, California | United States | about 8 hours ago
the collective bargaining agreement. The salary range for this position is $133,700 - $313,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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issues, escalations, and deep troubleshooting as needed. This position plays a key role in staff development, service planning, and operational reporting, while collaborating closely with other teams