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engagement forums, campus facilities and services to support staff from different backgrounds. We are proud to hold Juno Champion and Athena Swan silver awards, which recognise our commitment to creating
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individually, make a real difference. The role This post will investigate how cognitive performance can be predicted using multimodal physiological measures and modified through non-invasive brain stimulation
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of the transfer What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python, ideally with PyTorch Experience or interest in
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you contribute You are currently studying computer science, robotics, mechanical engineering or a comparable field Basic knowledge of Python, ideally with PyTorch Familiar with ROS2 Interest in multi
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monitoring regarding reaction time and situational awareness What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python
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or ability (Python, PowerApp, Xcode, etc). •Preferred general understanding of research life cycle (equipment, testing, validation, industry sponsored research/grants, statements of work, proposal development
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Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be
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that capture ILC-specific morphology and biology while remaining robust to differences between hospitals, scanners, staining procedures and protocols. The researcher will investigate self-supervised and
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electronic test and measurement equipment, investigation of transient electrical behaviour, comparison of different device designs and fabrication variants, and support for the evaluation of device performance
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from largely unlabelled data that can generalize across different radar configurations and be efficiently adapted to multiple downstream perception tasks with limited labelled data. An important research