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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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discipline is required, alongside suitable experience in research methods and techniques to work in a fast-paced research programme. International candidates are advised to carefully read the University
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functionalities and tasks. The ideal candidate will be a creative and methodical engineer with experience on and expertise in, user interface development for data-driven applications and an interest in robotics, AI
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mycobacteriology, protein expression and tissue culture and will assist with research projects under the supervision of the PI. Carry out established experimental methods and protocols in molecular biology
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and effect. Service Excellence - Delivers agreed priorities effectively and in a timely manner. Champions efficient delivery methods including automation and self-serve approaches. Has a continuous
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-computed tomography (microCT) analysis methods that reveal the 3D structure and evolution of microstructure of concrete non-destructively will be developed within the National X-ray Computed Tomography
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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combines virtual reality, computational modelling, and task-based functional MRI, including with pharmacology and eye-tracking, to translate a well-established biological phenomenon – behavioral tagging
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Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences
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This research assistant post provides an exciting chance to support a Cancer Research UK funded programme of research that aims to improve access to lung cancer early detection for individuals with