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High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling numerically intensive processes to answer outstanding
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, informed by data-driven insights and user research. This platform, in parallel with the University’s Student & Staff Portal (MyEd), are using open-source software, highlighting the commitment
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learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
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with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating the simulation environment, 3D printing promising robot hand designs, and setting up a
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treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support
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with programme ideas moving into the development stage. This work runs in parallel to the launch of a revised SSPP Strategy 2030, Shaping Global Change. SSPP is also launching a Methods Centre and a
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coming Autumn term 2025. As Demonstrator you will teach on 1 or more modules - Analytical Foundations of Data Science, Advanced Cloud Computing, Analytics Tools for Data Science, Computer Networking, Data
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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with programme ideas moving into the development stage. This work runs in parallel to the launch of a revised SSPP Strategy 2030, Shaping Global Change. SSPP is also launching a Methods Centre and a
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive