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, compression, learning, and inference for classical and quantum data. The stipends are within the general study programme Electrical and Electronic Engineering or Wireless Communications, and available from
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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, charities, as well as other universities and research institutes across the UK and internationally. The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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, charities, as well as other universities and research institutes across the UK and internationally. The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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Europe | about 1 month ago
4 Doctoral Candidate (DC) positions as part of the Horizon Europe MSCA-DN program, focusing on cutting-edge Multicore Fiber Applications and Technologies.DC 1 – OpenProject Title: Impact of extra
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human
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processing, computer vision, machine learning, AI, cognitive science, or robotics, is a merit. Information For more information on the programme and the role, please contact Prof. Amy Loutfi, e-mail
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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non