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support and solutions for our Evolve program, working with our network architect and network partner to assure the delivery and ongoing development of our network services including the Aruba SD-LAN and
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-Robot Interaction researchers as well as professional Engineers from Amentum. The successful candidate will contribute to the wider joint research programme tackling these interrelated challenges and will
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semantic mismatch between the formal guarantees produced by neural network verification tools and the actual implementation of neural networks at the hardware level. Specifically, hardware-level effects
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power systems – specifically voltage sourced converter based HVDC. The work will involve developing and analysing models of VSC-HVDC, their associated controls, and network connection, in PSCAD and Matlab
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The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
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The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
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End User Compute – Technical Lead Grade: 6 Contract Duration: 12 months Directorate: IT Services Division: IT Service Management About IT Services IT Services at the University of Manchester is a
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neural networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn
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the UK power network. This National Grid funded post aims to develop new QB coordinated control strategies to manage future network constraints and optimise effective power flow control. The successful
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circuit-level and neural network-level simulations. The candidate will conduct research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In