15 postdoctoral-image-processing-in-computer-science PhD positions at Imperial College London; in Uk
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About the role The post is funded by the DSTL to investigate the processing of highly textured ceramics for armour applications The parasitic nature of armour systems means that their weight imposes
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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industrial partners to deliver impacts on real world The opportunity to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts
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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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Engineering or Computer Science. We would also like to see experience in: Machine Learning, Optimisation, Python, finite elements How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and
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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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is critical for a wide variety of engineering and environmental applications, remains unexplored. You will join a team of researchers that experimentally quantify the flow-physics of fundamental
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(including the Composites Suite, the new high-temperature polymer processing equipment, the new electron microscopy unit, the aerial robotic flying arena) and to develop skills in polymer (nano)composites
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Standards. Deep understanding of aircraft design and certification processes. Opportunities to collaborate with NASA, Airbus, and other global leaders. Present your research at top international conferences
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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation