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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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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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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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materials, has led to significant theoretical advances on the mathematical description of fabric anisotropy for monotonic loading. However, the quantification of fabric anisotropy during cyclic loading is
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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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and local communities. Essential: 1- Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree 2- The student should be proficient in one
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, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International
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Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity and or impulsivity. The diagnosis and monitoring of the symptom severity are mostly based on subjective reports, while neuropsychological testing and...
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control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong foundation in mathematical and control theory is
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foundation in mathematical and control theory is essential for conducting this research. The applicant should have a relevant degree, ideally with a background (or strong interest in developing knowledge) in