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at the University of Manchester's Hydrodynamics Lab, https://www.scieng.manchester.ac.uk/tomorrowlabs/manchester-hydrodynamic-lab/ . This research aims to provide a comprehensive characterisation of offshore
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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AFM facilities at The University of Manchester and X-ray scattering at Diamond Light Source. At the University of Manchester, we pride ourselves on our commitment to fairness, inclusion and respect in
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Research theme: Nuclear thermal-hydraulics How many applications: 1 How to apply:uom.link/pgr-apply-2425 This project is co-funded by EDF R&D UK and the University of Manchester. Funding covers
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: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local
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these challenges by combining advanced metrology, data science, and machine learning to develop predictive models and new standards for recycled plastics. Based at the University of Manchester, in collaboration with
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at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship which will cover tuition fees for UK-based students and provide an annual stipend in line
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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at the University of Manchester under the supervision of Dr. Peyman Babakhani, and also collaborate with Dr. Vivek Bedekar from S.S. Papadopulos & Associates, Inc., a consulting firm in the USA. Applicants