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group has implemented state-of-the-art deep learning for underwater communications; deep learning models underwater environment based on real data. Our preliminary study shows that state-of-the-art deep
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Deep learning has
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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY POSTDOCTORAL RESEARCH ASSOCIATE IN THEORETICAL CHEMISTRY GRADE 7, £39,355 – £45,413
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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We are seeking applicants interested in communication design, digital learning design and youth arts to undertake a PhD that exploring online frameworks for capturing learning experiences in youth
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-learning models, improve the prediction of treatment outcomes, and promote responsible data sharing. The successful applicant will join a supportive and collaborative team based at Flinders University
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed