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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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We are seeking a creative and enthusiastic senior researcher with expertise in state-of-the-art machine learning to work in a large and successful research group based at the University of Oxford’s
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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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1st August 2024 Languages English English English PhD Research Fellows in ICT - Machine Learning and Security Apply for this job See advertisement About the position Three 100% positions
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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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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | about 1 month ago
: Geophysics), we are looking for a: Reference Number 9366 You will be working on the MIPT project: Ionospheric and plasmaspheric dynamics from observations, machine learning and physics-based modeling Our