242 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Dr" PhD positions in United Kingdom
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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computational lung modelling. Working with our proprietary respiratory system model, you will generate large-scale, high-quality virtual airflow and acoustic datasets. You will then develop and train state
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed
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-skills. How To Apply You must apply through the University's Apply to Newcastle Portal . Once registered, select ‘Create a Postgraduate Application '. Use ‘Course Search’ to identify your programme of
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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of the Ministry of Defence whose goal is to maximise the impact of science and technology for the defence and security of the UK. The project will involve working in collaboration with expert DSTL scientists, with
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. Note that this is an in-person programme, so you will need to be within regular commuting distance of your University. Eligibility and requirements We want PhD researchers who are curious and excited
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer...
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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.