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new initiatives. Meta connects the world using hyperscale computing - these systems will be your testbeds. One key difference from traditional research labs is that we own technology transfer - we work
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, telemetry systems) into immersive environments. Optimize XR applications for performance including CPU/GPU profiling, draw call reduction, shader optimization, memory management, and LOD systems. Develop
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outside normal office hours for activities organised by the University and/or the Department. Qualifications Applicants should: (a) have a recognised degree or higher diploma in Computing
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approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability domain of learned algorithms
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approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability domain of learned algorithms
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Engine, Unity, Blender, Adobe Creative Cloud, or DaVinci Resolve, with simple version-control tools like GitHub or Perforce. Experience with powerful PCs with strong GPUs, a mix of VR headsets like Meta
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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Engine, Unity, Blender, Adobe Creative Cloud, or DaVinci Resolve, with simple version-control tools like GitHub or Perforce. Experience with powerful PCs with strong GPUs, a mix of VR headsets like Meta