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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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contributions across our PGT and PGR programmes. This post will assist students setting up experiments and/or statistical analysis related enquiries. We are looking to recruit a well organised individual, with a
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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity
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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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that the selection process will take place on Wednesday 24th September. This will consist of an interview and presentation. We plan to let candidates know if they have progressed to the selection stage on the week
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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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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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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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Improving Deep Reinforcement Learning through Interactive Human Feedback
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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