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, government, industry and international research organisations, the School provides an exceptional environment for research, education and innovation with impact at national and global levels. To learn more
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Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
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offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/
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research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our
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extensive knowledge of robotic navigation, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior (http