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Field
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of machine learning, numerical analysis, optimisation, or related fields. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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for the detection and analysis of vulnerabilities and privacy harmful behaviours in IoT products, including side-channels arising from misuse and abuse of network protocols. The candidate will develop and apply
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policy analysis. Your qualities You bring the following qualifications: a Master’s degree in physics, environmental sciences, mathematics, systems science, computational science, or a related field; strong
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) to specify use cases from the perspective of the relevant domains as well as model transformation, analysis, and synthesis algorithms that provide functionally correct system configurations with a guaranteed
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computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis, computational geometry, or time
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. The main part of the project will be done at the University of Birmingham, but the student will also have the opportunity to be based at GSK for a minimum of 3 months. This interdisciplinary approach will
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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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checks to spot errors, and generally preparing data for analysis; assisting with onboarding new staff and maintaining project documentation; and assisting with literature reviews, new and renewal
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) release. Understanding these fundamental processes will pave the way to identify therapeutic targets. This PhD studentship offers a unique opportunity to work within an interdisciplinary collaboration