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Field
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. The aim of the PINZ CDT is to train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required for the process
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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cost-effective way to dramatically increase the performance of launch vehicles. Electric orbit raising kick stages have not seen widespread use due to the low thrust of electric propulsion (EP), leading
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a thorough knowledge of mechatronics engineering for electric vehicle systems and to have a working knowledge of a range of topics within the sphere of their chosen discipline. They will also be
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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Engineering Department Location: Newport, Shropshire TF10 8NB Salary: £35,166 per annum Post Type: Full Time Contract Type: Fixed Term - Until 30 September 2028 Closing Date: 23.59 hours BST
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recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
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an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language qualification. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate
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for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline, for example Civil Engineering, Geotechnical Engineering, Engineering