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: Leeds - Main Campus Faculty/Service: Faculty of Engineering & Physical Sciences School/Institute: School of Mathematics Category: Research Grade: Grade 7 Salary: £37,099 to £44,263 p.a. Due to funding
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the Research Institute in Secure Hardware and Embedded Systems (RISE). About the person: Essential Criteria: 2:1 Honours degree in Computer Science/Electrical and Electronic Engineering/ Mathematics (or related
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must have the following: A 2.1 Honours Degree (or equivalent) in Applied Mathematics, Computer Science, Electronics, Electrical Engineering, or a closely related engineering discipline. Normally have or
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person: Essential Criteria: 2:1 Honours degree in Computer Science/Electrical and Electronic Engineering/ Mathematics (or related discipline) PhD in in Computer Science, Electrical and Electronic
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PhD in mathematics, physics, engineering, computer science, or a related field are invited. Experience with computational fluid dynamics, numerical simulation and scientific computing is essential
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on increasing the flexibility of local energy communities. Applicants are required to possess a degree in electrical engineering, computer engineering, or mechanical engineering, applied mathematics, economics
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and coastal engineering, computing, electrical and electronic engineering and robotics, mathematical sciences, mechanical, marine and materials engineering. With many internationally recognised experts
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interdisciplinary team---at the interface between mathematics, engineering, and eco-geohydrology. The PDRA will be based at Faculty of Engineering, University of Nottingham, work in close collaboration with School
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to develop new technology and algorithms to modulate synaptic interactions in neuronal network cultures. These tools will be used to shed new light on how electrical rhythms are generated in neuronal networks
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documentation. The successful candidate will be able to demonstrate some essential characteristics: a PhD degree (or be near completion for the Research Assistant role) in Electrical Engineering, Energy Systems