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Field
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, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations from 3D joint coordinates; 2) understanding wireless transmission
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/nanomechanical (meta)materials to optical metrology and the applications of deep learning in photonics. The ORC is proud to hold an Athena Swan Bronze Award, recognising our support for the advancement of women in
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available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial
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libraries in Python (e.g., NumPy, Pandas, PyTorch, Seaborn, Scikit-learn) to visualize and model healthcare sensor data. Design and implement deep learning architectures for time-series data. Perform data
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. It would be an extra, if you had experience or interest in learning to use AI-Assistants and LLMs for research purposes, e.g., Deep Research, As well as having experience or interest in learning to use
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cardiovascular care using advanced machine learning techniques, including deep learning. Informal enquiries may be directed to Dr. Dimitrios Doudesis, Principal Investigator (Dimitrios.Doudesis@ed.ac.uk
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, NeurIPS, ICML, ICLR, and etc. Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred. Strong theoretical background in quantum learning theory, quantum many-body
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Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum