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Field
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cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop
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directly at the site of patient care or field testing, without the need for complex laboratory infrastructure. This demands a detection method that is robust, low-maintenance, and capable of delivering clear
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willingness to operate and troubleshoot complex instrumentation involving mechanical, electronic and vacuum systems. References: Warr et al., Sci. Adv. 4, eaas9543 (2018) ; Xiao et al., Adv. Mater. 32, 2000063
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focus on solid dosage forms and 3D printed drug products. The research will integrate advanced imaging, computational modelling, and pharmaceutical sciences to improve the resolution, reproducibility, and
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera
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experimentation and finite-element modelling. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical
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) and the University of Warwick seeks to develop flexible digital twin models that will enable novel, integrated solutions to the decarbonisation of heating and cooling on large industrial and commercial
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cardiovascular image analysis, but they are limited by their dependence on large, expert-annotated datasets, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where
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of the studentship is to measure and model the optical properties of facial skin at different wavelengths and angles and to relate the results to other work by the research team on the clinical measurement and