618 computer-security "https:" "https:" "https:" "https:" "DTU Electro" PhD positions in United Kingdom
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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Research theme: Computational Electrocatalysis How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will
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Director of Studies (DoS): Dr. Yu Yao (yu.yao@plymouth.ac.uk , tel.: +447756140668) 2rd Supervisor: Dr. Maozhou Meng (maozhou.meng@plymouth.ac.uk ) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project...
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) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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Specified use The awards are available on a competitive basis for candidates joining the PhD Accounting & Finance, PhD Business & Management or PhD Science, Technology & Innovation Policy programme at
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete