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natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
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stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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quote the advertised reference number ‘SCI25-SK2’ in your application. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents . The following
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difficulties), and neuropsychological sequalae such as cognitive difficulties (memory and new learning, executive function, attention, processing speed, cognitive fatigue etc.), and difficulties with regulating
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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
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and corrosion in aqueous CO2-containing environments (such as geothermal systems) is the continuous injection of chemical inhibitors into the process fluid. These inhibitors can function through a
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process It is anticipated that the selection process will take place on 8th July. This will consist of an interview, test and tour. We plan to let candidates know if they have progressed to the selection
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holder will be required to have practical experience in high-density microelectrode pattern on soft substrates with good understanding of advanced microfabrication processes, electrode substrate