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the role and make it their own. If you think that this might be the role for you, please write and tell us why. If you have any informal enquiries, please feel free to contact Dr Amy Orben: amy.orben@mrc
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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coding ability. Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or equivalent research, industrial or commercial experience. *Candidates who have not yet been
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, exercise sciences, biomedical sciences, neuroscience or a similar). Experience with physiological assessments from activities in a research or clinical environment. Ability to work independently and as part
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. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
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place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also essential
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analytical and numerical skills, with a well-rounded academic background. •Demonstrated ability to develop precision mechanical devices and mechatronics •Ability to develop kinematic and/or dynamic analysis
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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 flexible manufacturing systems. Together, we will
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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skills, with a well-rounded academic background. Demonstrated ability to develop precision mechatronics/robotics systems and algorithm Ability to develop kinematic and/or dynamic analysis of mechanical