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Applications are invited for a Research Fellow position within the Astronautics Group, in the Department of Aeronautics and Astronautics. The post will work on a collaborative project between the University of Southampton and the University of Oxford investigating the potential of magnetic...
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Department of Computing Research Fellow / Postdoctoral Fellow (Ref. 260915012) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project – “EnergyKnow: Knowledge-driven smart building energy management with heterogeneous energy systems”....
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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NTU, CEE is a leading school for Sustainable Built Environment. The job is aimed at developing smart connectors for modular floating breakwaters. Key Responsibilities: Design and fabricate self
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of £38,831- £52,656 per annum (pro-rata), dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS.This is a full time, fixed term position
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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where the law allows us to do so in line with our Data Protection Policy. Personal data relating to criminal convictions will be retained confidentially and securely and access to that data will be
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis