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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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organisational skills, with an ability to plan, prioritise and progress work activities. Essential Application Interview A highly flexible approach to work and experience of adapting own skills to new
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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creative approaches to problem solving. Essential Application/interview Ability to assess and organise resources, and plan and progress work activities. Essential Application/interview Technical Professional
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such as debonding. Using Lamb waves forms a practical and quantitative way to measure thin structures and has had a significant impact in finding defects in aerospace structures. We plan to adapt
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@sheffield.ac.uk or on 0114 222 4728. Next steps in the recruitment process It is anticipated that the selection process will take place in the weeks following the. closing date. We plan to let candidates know
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, application processing, interview coordination, pre-employment checks, onboarding, and maintaining recruitment records. In collaboration with colleagues, plan and coordinate School events, workshops, and
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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at: application/interview) Ability to assess and organise resources, and plan and progress work activities. (assessed at: application/interview) Desirable criteria Understanding of convex optimization theory