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and operational conditions. This project aims to tackle these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data analysis method, exploiting
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address this multidisciplinary topic using state-of-the-art analytical techniques and data processing and analysis, guided by the highly qualified support staff at IBED. Together with your supervisors, you
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node
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MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
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intersectionality. You are trained in qualitative research and analysis methods. You have experience with conducting fieldwork, collecting and analysing qualitative data, ideally in relation to the theme
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strategies that are robust with respect to perturbations and capable of balancing multiple competing performance criteria. Information Uncertainties are inherent in many engineering design problems and can be
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models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
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laboratory analysis is an advantage. Additional Information Benefits What do we offer. A fully-funded PhD position, with an initial appointment for 1 year, which will be prolonged with 3 years after a positive
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate