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Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease Department
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diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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, mathematics, or statistics. - Must have completed, or on the way to completing, a master’s degree at merit or distinction (or a non-UK equivalent) in a relevant subject How to apply: Please complete a
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View All Vacancies School of Applied Sciences Location: Brighton - Moulsecoomb Salary: £39,347 to £56,021 per annum Closing Date: Thursday 09 May 2024 Interview Date: To be confirmed Reference: AP3145-24-138 An exciting opportunity has arisen for a clinical pharmacist to contribute to the...
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Are you passionate about making a positive impact on students with special educational needs? Join the Foundation team at Bedford College as a Supported Employment Assistant and play a crucial role in transforming lives. Take Lucy's inspiring journey, for example - she initially faced challenges...
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28 Mar 2024 Job Information Organisation/Company The University of Exeter Department College of Engineering, Mathematics and Physical Sciences Research Field Computer science » Modelling tools
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language like Python, which you can learn as part of the project. There won’t be any hard-core software development. The project would particularly suit you if you enjoyed the mathematical elements of your
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candidates are expected to hold a first class or upper second-class degree in engineering, physics or applied mathematics. Interests in CFD, computer programming and fusion technology are desirable but pre
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@sheffield.ac.uk. Candidate Requirements Strong mathematical background (in calculus, linear algebra, ODEs, and functional analysis) and familiarity with PDEs are essential. Experience in control theory is desirable
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Functional lung image synthesis using machine/deep learning: development, validation and application
include: • BSc in Computer Science, Engineering, Physics, or Mathematics. • Strong programming skills in Python, MATLAB, R, or Java/C++. • Prior experience in image analysis and/or machine learning is