39 software-testing-short-course-"Prof" PhD positions at University of Nottingham in United Kingdom
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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with a rigorous approach to research. Applicants should have, or be expected to gain a high 2:1, preferably a 1st class honours degree in Chemical or Mechanical Engineering or Chemistry or a related
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this by monitoring infectious disease trends and outbreaks using systems that collect information over time and allow unusual changes to be detected. While these normally count laboratory test results
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manufactured using plasma spray and mini-combustion flame spray and examined in SEM/EBSD and tested in a burner rig and furnace thermal cycling. As a part of a CDT cohort, you will have access to tailored
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placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
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addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a first-class or upper second-class honours degree in mechanical engineering or a related
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs
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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data