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Field
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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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candidates in the general area of machine learning and radio resource allocation for emerging wireless networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out
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cutting-edge Machine Learning/AI techniques to real-world problems? The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems – highlighted by
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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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projects in quantum machine learning, focusing on the study of non-Markovian processes to enhance the processing of classical and quantum data. Responsibilities include developing new algorithms, conducting
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As an ever increasing amount of data is generated in the "connected world" enabled by wireless networks, the development of machine-learning algorithms targeting wireless networks becomes critical
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confirmed Reference: 2746824FP You will join our collaborative team to work on an EPSRC-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based
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experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning
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in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
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takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is