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before determining their visual loss arises from cortical, rather than ocular deficits. Tests of cortical visual function are used rarely except by highly specialised neurology/neuro-ophthalmology
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, utilities supply, food & beverage processing and many others as we move into a low carbon economy. A paradigm shift in technology will be required in order to cope effectively with an ever-increasing amount
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processing and many others as we move into a low carbon economy. A paradigm shift in technology will be required in order to cope effectively with an ever-increasing amount of renewable energy being brought
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prototype development, construction, operation and analysis as well as characterisation of different scintillators and fibres. This project also includes the opportunity to spend an extended period working
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summary Many important applications in materials science and medical imaging rely on high detail image slices / scans which are compared across time (e.g. via micro x-ray CT). The technology to compare
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operation of safety-critical components is often contingent on the avoidance of embrittlement in steels. Unfortunately, historical evidence highlights the significant impact that contaminants can have
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technology Material property characterisation of formulated powder-binder systems to assess manufacturing process compatibility Benchmarking of prototype capability via parameter optimisation through
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Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
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-mediated genome engineering of human cell lines, and cytogenetic analyses. The project co-supervisor Chris Chan is a leading expert in cutting-edge fluorescent imaging, and you will have access
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relevant Masters qualification in an appropriate subject (e.g. Psychology, Neuroscience, Neuro-engineering, or related fields). Experience with (or a strong interest to learn) computer programming is highly