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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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PhD Opportunity in XR and AI: An AI analytics workbench for protein structural characterisation Job No.: 674528 Location: Clayton campus Employment Type: Full-time Duration: The CSIRO Next
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heterocycles, their follow-up chemistry and application as opto-electronic material. Characterization of the obtained products and intermediates via spectroscopic methods such as NMR, UV-vis, IR/Raman, mass
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and exploration of novel P-compounds. Characterization of the obtained products and intermediates via spectroscopic methods such as NMR, UV-vis, IR/Raman, mass spectrometry and X-ray structure
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part of the wider condensed matter group here at Birmingham, with a close-knit structure and exposure to other groups and ideas. Email Dr Matt Coak at m.j.coak@bham.ac.uk Funding notes: Fully funded
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eligible for EU fees Post Summary The Department of Civil, Structural and Environmental Engineering at Trinity College Dublin (TCD) are seeking a PhD student in Structural Dynamics examine the design of
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occupant health and wellbeing. As a Research Assistant, you will work closely with UK- and Egypt-based teams to analyse collected data, develop and test computer-based retrofit models (e.g., IES VE
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algorithms to detect complex structural variants in humans using long DNA sequencing reads. A structural variant (SV) is a large-scale alteration in the genome that involves rearranged, deleted, or inserted
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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applications for a fully funded PhD studentship on refractory high entropy superalloys, in collaboration with Rolls-Royce plc. This project, based in the Structural Materials Group, offers an enhanced stipend