176 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Birmingham
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develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With
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environmentally sound management of the materials contained in lithium-ion batteries. Researchers at the University of Birmingham will be investigating separation technology efficiency and characterisation
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. Requirements: The candidate will have a 1st class undergraduate or Master’s degree (or equivalent) in Applied Mathematics, Physics, Aerospace Engineering, Mechanical Engineering, Computer Science, or a related
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Birmingham Institute
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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post-doctoral researchers and engineers, 3 support staff and 19 research students. Beyond the trigger, our ATLAS activities include upgrade tracker (ITk) construction, top and Higgs boson physics, and
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Job Description Position Details School of Physics and Astronomy, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary
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communicate with local and international partners to coordinate sample and data collection Analyse research data as directed in partnership with host team and technology experts (e.g. bioinformatician
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-alone facility of its kind in the UK for almost 40 years. The building offers 650m2 of on-site high technology laboratory space, including cell culture suites, confocal, micro-CT and scanning electron
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong