693 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ASNR" positions at University of Sheffield
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline: Applications accepted all year round Details This PhD project focuses on using topological data...
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Characterization and convergence of non-Brownian webs School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Nic Freeman Application Deadline: Applications accepted all year round Details The Brownian web is a dense system of coalescing Brownian motions in 1+1...
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lifting plan/bitmap format Impact Cost and Time Reduction: A weaving process model and digital twin will allow for trials to be conducted in a virtual environment, eliminating the need for expensive and
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programme, you will have the opportunity to gain real world experience of the technical and non-technical challenges associated with decarbonisation of heat through placements with South Yorkshire Mayoral
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Develop and deliver a communications plan to engage the network’s target audiences, including researchers, clinicians, people with dementia, carers, and supporting organisations. Create and distribute a
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from intracranial haemorrhage (ICH) — a life-threatening condition often caused by trauma. The project forms part of a Royal Academy of Engineering Research Fellowship programme led by Dr Xiancheng Yu
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, their simplifying assumptions limit accuracy when dealing with modern reactor design and complex safety scenarios. Conversely, high-fidelity Computational Fluid Dynamics (CFD) offers immense detail but remains
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reputation for being the world-class solution provider in the field of AM. Develop a clear strategic plan of engagement/representation at relevant conferences and disseminate information about new technologies
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an alumni communications and engagement plan, to motivate alumni to support the work of the School and wider University, meeting the needs of different graduate populations to support the School's priorities