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resolution. We aim to adapt two distinct non-invasive or minimally invasive technologies for the measurement of cortisol and other adrenal hormones: solid microneedle biosensors measuring continuously in
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) Task 5 – Biosensing technology - Electrochemical platforms This project aims for the PhD student to apply advanced biosensor technologies for the detection and quantification of allergens in bioaerosols
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power sources for electronics, supporting the Green Transition. Biosensing involves detection of biological targets, often for diagnosing or monitoring disease. Cheap and effective biosensors can save
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to gain adequate resolution. We aim to adapt two distinct non-invasive or minimally invasive technologies for the measurement of cortisol and other adrenal hormones: solid microneedle biosensors measuring
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or equivalent Skills/Qualifications • Solid knowledge in bioengineering, biotechnology, or biomedical engineering. • Experience or interest in biosensors and biomarker detection. • Fundamentals of analytical
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combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals. The Computational Synthetic Biology group (CSBG), led by Dr
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to join our team with a background in bio-instrumentation, electronics and biosensor (or similar). You will be part of a new and exciting project funded by the Gates Foundation. This project aims
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biosensor, transforming an existing prototype technology into a deployable environmental monitoring solution. Building on recent innovation at Exeter, this PhD will translate a novel discrete gape-sensor unit
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metasurfaces to boost the sensitivity of plasmonic biosensors. Introduction Current workhorse techniques to detect and study single biomolecules rely on fluorescence microscopy. Recent advances in Zijlstra’s
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. However, integrating and synchronizing diverse, high-volume datasets, from dynamic hormone profiles to wearable biosensors (heart rate, actigraphy, temperature), is a significant hurdle. Data quality loss