350 information-security-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Full details of how to apply can be found
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at intermediate level or A level qualification or vocational skills and proven experience within an IT support environment Essential Application Experience and understanding of following cyber security policies
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Distributed control and information theory (S3.5-ELE-Baldivieso Monasterios) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Pablo
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Materials 4.0 CDT is committed to Equality, Diversity and Inclusion. We strongly encourage applications from underrepresented groups. Application Web Page https://www.sheffield.ac.uk/postgradapplication
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix) School of Medicine and Population Health PhD Research Project
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the right background, please get in touch. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse
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and Masters dissertation projects. As a School we are committed to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and
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Energy storage for low carbon community heat networks: a risk-informed decision-making approach (C3.5-MAC-Barthorpe) School of Mechanical, Aerospace and Civil Engineering PhD Research Project