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Field
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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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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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Methodology The PhD candidate will develop innovative AI models using machine learning and deep learning frameworks. Methodologies will include supervised and unsupervised learning approaches to identify and
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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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Investigators from the Powerhouse Museum. Additionally, you will engage in high-impact research using deep neural networks, behavioural and neuroimaging experiments, and contribute to scholarly publications and
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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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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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with any of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU