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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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Engineering, Bioengineering, General Engineering, Applied Mathematics or Physics (at least a UK 2:1 honours degree, or its international equivalent). Knowledge, skills Strong programming skills in Python
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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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Nonlinear and quantum properties of hybrid light-matter interacting states in semiconductor photonic structures. PHY-09-Krizhanovskii School of Mathematical and Physical Sciences PhD Research
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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
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degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience, cognitive science, computer science or subjects where signal processing may be applied are encouraged to apply. If you