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Field
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, but its human burden is badly understood. This PhD addresses this gap, integrating multiple high‑value datasets describing metagenomic and metatranscriptomic sequencing information, clinical and
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: Computing Science · select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section
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industrial process data Large-scale polymer production systems Operational constraints and engineering decision-making Direct pathways for translation of research into industrial practice The project is
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for stable maintenance of fully synthetic chromosomes within eukaryotic cells. We offer a highly collaborative multi-disciplinary PhD between the Nieduszynski (chromosome biology; technology development) and
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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Primary supervisor - Dr David Lea-Smith Engineering biology has enormous potential to address global environmental challenges like bioremediation, biosequestration, pollutant monitoring, and
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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
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University: (https://www.ncl.ac.uk/nes/people/profile/samwilson.html ) Yulia Yuzenkova (https://www.ncl.ac.uk/medical-sciences/people/profile/yuliayuzenkova.html ) Eligibility Criteria Due to funding
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Health Data Science) Start date: January 2027 (or earlier) We are offering an exciting fully funded PhD studentship at the University of Cambridge, embedded within Cancer Data Driven Detection (CD3) - a
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Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https