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Field
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-gradient-driven diffusiophoretic focusing for power-free analyte concentration Integrate nanomaterials and microfluidic components into scalable, user-friendly LFA prototypes Validate device performance
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the research. They will conduct relevant systematic and/or meta-analytic reviews to describe the current literature and inform their research. They will undertake qualitative data collection and analysis and use
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next
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. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and
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cdtcivil-courseadmin@eng.cam.ac.uk . Applicants should have (or expect to obtain by the start date) a high 2.1 degree preferably at Masters level in Civil Engineering, skills in data analytics and
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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surveys, laboratory experiments, and advanced analytical tools. Water and plankton samples from UK coastal waters will be analysed to quantify MNP types, sizes, and concentrations, correlated with plankton
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culture, biomaterials, or biological assay techniques. Good analytical and problem-solving skills and the ability to work both independently and in a multidisciplinary team. Excellent written and verbal
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks
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student with: practical experience in microfluidics and/or CAD, CFD modelling, cell culture, biomaterials, or biological assay techniques. Good analytical and problem-solving skills and the ability to work