677 proof-checking-postdoc-computer-science-logic positions at University of Sheffield
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/groups of students and programme directors. Undertake module evaluation, including facilitating student feedback, reflecting on own teaching design and delivery; and implementing ideas for improving own
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Neutron total scattering (Pair Distribution Function analysis), as well as scanning and transmission electron microscopy (SEM & TEM). Main duties and responsibilities Undertake the programme of work and
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/interview) Experience of using computer-aided engineering including PCB design, schematic capture, embedded programming and circuit simulation (assessed at application/interview) Evidence of working
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you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria A PhD or equivalent experience in Engineering, Computer Science
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The design and testing of sounding rockets for hypersonic research School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Alistair John Application
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A Machine Learning Enabled Physical Layer for 6G Radio Systems School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Prof Timothy O'Farrel, Prof Mohammed
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for successful candidates to join are listed below. BRC Theme: Cardiovascular / Imaging & Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH
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collaborative programme of research funded by the Aerospace Technology Institute (ATI) with several Industry partners, including Airbus, GKN and Renishaw. Critical for the implementation of additive manufacturing
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the first characterisation of ‘adhesion platforms’ organised by CD9 which facilitate the adhesion of oral pathogens and provide proof of concept that disruption of these platforms with CD9 disrupting agents
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collaborative programme of research funded by the Aerospace Technology Institute (ATI) with several Industry partners, including Airbus, GKN and Renishaw. Critical for the implementation of additive manufacturing