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techniques will be needed to design architectures the next generation of resilient systems under this increased complexity and growing risks from cyber-attacks. The focus of the PhD project is to identify
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dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable though not necessary
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-periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 3 hours agoprotein, including the interplay between its domains and its diverse, non-canonical functions, remains elusive. This project will build directly upon Professor Giamas's findings to dissect the molecular
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workload, increase usability and generally make the vehicle a special place to be. The project will treat the experience of tranquillity as a phenomenon that can be measured and influenced. That phenomenon
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £25,000 per annum, covering full
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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LSBU is offering over 80 Chancellor’s PhD Scholarships which offer full-time fee waiver for four years. The Scholarships are offered across three colleges: the College of Health and Life Sciences
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publication-oriented, allowing you to build a strong academic and professional track record in energy-efficient and secure AI hardware innovation. By the end of this PhD, candidates will possess advanced