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We are recruiting a PhD student to integrate data-driven methods with NMR spectroscopy to enhance the characterisation of cell culture media and metabolites, increasing throughput and reducing
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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The rocky intertidal zone provides a natural laboratory for examining how abiotic stressors and species interactions shape ecological patterns. Species in this habitat are easily accessible and act as early indicators of anthropogenic and climate-driven change. However, limited understanding of...
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Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 4-year funded PhD studentship will contribute to cutting
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, biocatalysis, and the integration of the two. We will use state-of-the-art automated multi-step flow chemistry to chemically synthesise homogeneous glycopeptides and glycoproteins, the glycosylation of which
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PhD Studentship in Aeronautics: Real-time machine learning and optimisation for extreme weather (AE0073) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Climate change is
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the pregnant person could decide on an elective Caesarean Section (CS) that would be preferred over the emergency CS that would likely result if a natural childbirth would be attempted. The PhD project will
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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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can personalize and automate home environments to improve comfort for residents, including temperature control, lighting, and air quality. Objective 3: Assess the role of digital twin technology in