323 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
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of such program could be done in case of it was necessary. For instance, for the linkage of new material models or certain numerical features such as a new finite element. This research will benefit from excellent
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largest published cohort of adult ataxia patients. External collaborators include NVIDIA, providing access to high-performance computing and advanced AI frameworks (e.g. NeMo, Parakeet), and Professor Anja
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demonstrated in terms of the application and scalability. A related project is studying the performance of BMS, in this project, we will investigate and demonstrate the scalability using our custom-built pilot
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Application Deadline: 17 November 2026 Details Powdered polymer Additive Manufacturing (3D Printing) processes such as Selective Laser Sintering and High Speed Sintering have shown increasing potential for a
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. We’re looking for an Events Officer who will use their exceptional event management and organisational skills to deliver a programme of alumni events. You’ll also support other CAR teams to deliver
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efficiently to manage a busy, varied workload, whilst maintaining a high degree of accuracy and attention to detail. They will communicate clearly and concisely and will work in collaboration with academic
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-sequence in a biorefinery as a superstructure optimization problem 2. Develop algorithms to solve the challenging superstructure optimization problem 3. Find the optimal unit operation and materials
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AI-enabled digital technologies for the resilient operation of power systems
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performed well in Domino’s preliminary in-house trials. This copolymer was prepared directly in aqueous media using a technique called polymerisation-induced self-assembly (PISA). Prof. Armes is one