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geophysical survey and machine learning algorithms. Mainly responsible for processing geophysical/geomechanical data and analysing the data using machine learning. Conducting research, supervising undergraduate
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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is the most powerful supercomputer in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the centre’s compute and software
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. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe. The BriCS team owns the entire process of developing and operating the centre’s compute and software
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to independently develop ideas for new research activities The following additional knowledge would be positive: Good knowledge of DSP algorithms for digital coherent transmission Experience with VPIphotonics
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science, Data Science, Artificial
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, or you know what it takes to make content perform well in algorithms; we’d like to hear from you. This role is full-time (35 hours per week), fixed term for 15 months from the start of employment. Salary
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas