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in a subject relevant to the proposed PhD project (i.e., computer science, cybersecurity, mathematics, or software engineering). A Masters qualification in a relevant subject area will be highly
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PhD Studentship in Computer Science: Incentivizing Participation in Privacy-Enhancing Technologies Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237
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study: Search ‘Course Title’ using programme code: 8050F Research Area: Computing Science Select PhD Computer Science as programme of study In ‘Further Questions’ section please upload: ‘Personal
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PhD studentship in Computer Science: Quantum digital signatures and quantum formal methods Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25
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unlimited computing power. This PhD will involve in developing novel quantum digital signature protocols, and verifying the security of the protocols using a branch in computer science known as formal methods
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(Enrolment open from mid-September) Supervisor: Dr Arno Pauly ([email protected] ) Aligned programme of study: PhD in Computer Science Mode of study: Full-time Project description: Research
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Funding providers: Siemens Mobility, Faculty of Science and Engineering Subject areas: Computer Science, Software Engineering, Software Testing, Verification, Software Certification Project
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programme of study: search for the ‘Course Title’ using the programme code: 8050F Research Area: Computing Science select ‘PhD Computer Science (full time) - Computing Science' as the programme of study In
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programme of study: Search ‘Course Title’ using programme code: 8050F Research Area: Computing Science Select PhD Computer Science as programme of study Provide the following information in ‘Further Details
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as Computer Science, Computer Engineering, or Cyber Security. Strong programming skills, preferably Python, Matlab, or R. Experience with one or more of hardware-programming, cyber physical/electrical