327 algorithm-development-"Multiple"-"Prof"-"Embry-Riddle-Aeronautical-University" positions at University of Sheffield in United Kingdom
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accepted all year round Details The aim of this project is to to build a computational model of the development of cortical somatotopy in humans, focusing specifically on the representation of the hand
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well as the complex coupling between them. We have an exciting opportunity to contribute to a high-profile project focused on the development of the Solar Atmospheric Modelling Suite (SAMS) — a next-generation, modular
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vesicles in atherosclerosis. You will have an opportunity to further develop research expertise, cultivate grant writing skills, and contribute to scientific publications. The successful candidate will be
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committee, leading the Careers and Development committee. Candidate A good undergraduate honours degree in a relevant science subject is required. Any further research stays, publications or experience with
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to the development of OLEDs, combining cleanroom fabrication with advanced optical and electrical characterization techniques. They will join the LUMOS group (Luminescent Materials and Organic Semiconductors) and work
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performance. Undertake curriculum development work, planning, development and evaluation of modules and related materials, and supervise module provision with support from senior colleagues as appropriate. Work
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opportunity for the successful applicant to develop further towards leading an independent academic career at the interface of AI and engineering applications (such as advanced manufacturing). The role holder
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for self-reflection on your performance and progress. You will meet regularly with senior core technical staff and technical managers to discuss your progress and development. You are expected to demonstrate
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the development of compelling content and promoting our outstanding facilities and services. This role offers an excellent entry-level opportunity to develop your skills and gain valuable experience in Marketing
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward