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Field
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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models (possibly based on machine learning) can be
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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models
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statistics and machine learning More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Industrial Systems Engineering and Management Employee Referral
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ATMRI is seeking to hire a Research Fellow to conduct innovative to develop artificial intelligence methods and machine learned models to improve the performance, reliability and safety of air
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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, Psychology, Genetics, Statistics, Biomedical Engineering, or related fields, as well as experience with: Solid experience with deep/machine learning (e.g., keras, pytorch, sklearn, tidymodels) and/or
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where appropriate. About You PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics Detailed and highly specialised knowledge and understanding of Computer Vision, Deep Learning