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Award summary 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Overview The School of Mathematics, Statistics and Physics invites applications for a
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
Proficiency in at least one programming language is a requirement. While having a base in the School of Mathematics in Birmingham, you will join a research team that also includes world-leading clinicians and
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Eligibility criteria: You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc
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You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm
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and use as a gem-stone, but recently emerging at the forefront of quantum technology with the use of point defects to store and manipulate information at a quantum level. Computational and theoretical
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one or more of 40+ expert academics from the School of Informatics, the School of Mathematics, the School of Physics and Astronomy, the School of Engineering, or EPCC. As part of an interdisciplinary
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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([email protected] ) and Prof. Mauro Paternostro ([email protected] ) at the Centre for Quantum Materials & Technologies, School of Mathematics & Physics, Queen’s University Belfast. How to apply
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View All Vacancies Mathematical Sciences Location: UK Other Closing Date: Thursday 22 February 2024 Reference: SCI232 School of Mathematical Sciences A 3.5 year PhD studentship, beginning in