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extracellular arginine for their survival. Therefore, it is unsurprising that arginine-deprivation approaches are becoming increasingly popular as potential therapies to treat a variety of cancers. This is a
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workload, increase usability and generally make the vehicle a special place to be. The project will treat the experience of tranquillity as a phenomenon that can be measured and influenced. That phenomenon
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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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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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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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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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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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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
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis