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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
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and take ownership of work Interest in AI, machine learning, image/audio processing Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408369/research-engineer-r… Requirements
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will apply machine learning — in particular physics-constrained symbolic regression — to discover compact analytical spin-Hamiltonians and their parameter dependencies. These Hamiltonians will feed large
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relevant industry experience, demonstrating scientific independence, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine
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(target journals: International Journal for Numerical Methods in Engineering – IJNME). Deep learning algorithms for high-temperature multiphase problems (target journals: Computer Methods in Applied
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depending on the candidate’s experience and qualification. Candidates should have a PhD in Chemistry, Chemical Engineering, Bioengineering, Immunology or a related field. We welcome applicants with recent
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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative