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fingerpick of fluids. We are currently exploring implementation of machine learning within the field of droplet microfluidics. Our overall vision is to introduce disruptive technologies that challenges
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Engineering Simulation and Testing (BEST ) Lab led by Dr Hari Arora. There are currently >20 researchers in the group with >10 PhD level working on advanced experimental and computational mechanics problems. A
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monomeric de novo synthetic proteins; (3) use computational tools to create oligomers of these monomeric proteins; (4) find ways to express the genes encoding monomeric and oligomeric proteins in a variety of
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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Supervisory Team: Min Kwan Kim (80%) / Alexander Wittig (20%) PhD Supervisor: Min Kwan Kim Project description: Very Low Earth Orbit (VLEO), including altitudes below 100 kilometers, is attracting
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
to the commencement of the PhD. Vision We are seeking for a highly motivated PhD student to conduct cutting edge research of the AI techniques that will power future resilient, flexible and reconfigurable manufacturing
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available to UK nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior to the commencement of the PhD. Vision This PhD project
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PhD Studentship - Analysis and Optimization of Wound Field Synchronous Machine e-NVH for Vehicle Traction Applications This exciting opportunity is based within the PEMC Research Group at Faculty