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mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance
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detection. Validate sensor performance for sensitivity, selectivity, and reproducibility across biological matrices. The successful candidate will work at the interface of electrochemistry, materials science
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or mechanical engineering background. Experience of experimental aerodynamics, particle image velocimetry, flow or aerodynamic measurements, compressible flow, CAD would be an advantage. As part of this role you
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provider how to adjust their compression depth, rate, and release to improve patient outcomes. The student will have the opportunity to work with a range of engineers, doctors, and paramedics and will help
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We are recruiting highly motivated and enthusiastic doctoral students in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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, optimisation and validation of analytical methodologies using liquid chromatography coupled with mass spectrometry for the determination of contaminants in food matrices (e.g. honey and hive products), analysis
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. Analysis covers preprocessing, assembly of DNA fragments into complete genomes, imputation of missing data, filtering of bad data, prediction of the meaning of the DNA in individual cells, compression
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needed of how these microtissues remodel and fuse their matrices as they grow, and how this is governed by their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools
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will go beyond reformulation by developing a mechanistic understanding of how sodium functions within batter and breadcrumb matrices, rather than relying solely on empirical reformulation. It will
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6-24): Construction of autoencoders for compression of high-dimensional fields. Sparse identification (SINDy) or genetic programming (GEP) for derivation of explicit, interpretable control laws