497 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD positions in United Kingdom
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which is part a four-year degree programme for Chinese students, leading to a dual award from both institutions in Accounting & Finance and Business Studies. You should focus primarily on delivering high
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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supply-demand deficits becoming widespread by the 2050s. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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activities that will enhance performance in the role and future career prospects, including those within the Cardiff Researcher Programme. To keep a ‘learning log’ to facilitate critical reflection
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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equivalent) Good experience of programming. Funding Full funding for 3.5 years covering Home or International tuition fees Enhanced stipend (standard UKRI rate plus £3,500 totalling £25,305 tax free for 2026
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with 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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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding
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in the UK, and compare this to pathogen specific surveillance programs to determine the full extent to which metagenomic surveillance programs can give us genomic epidemiological level data