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to the Bachelor's Degree in Philosophy, Politics, Law and Economics (PPLE), fully taught in English. The Faculty operates as a College model that integrates more than 8 undergraduate degree programs through a shared
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on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods
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: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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led by Dr. Mañas, especially in the paediatric avatars project, focused on the creation and characterisation of patient-derived models (in vivo and in vitro) and their use as avatars to develop new
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students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000
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opportunities for growth in the field of clinical research. To learn more about the research program, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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(). Project PAST, “A proxy-model alliance to decode storms in warmer climates”, aims to quantify the occurrence of storms over western Europe during warmer climates. Climate change is known to increase the risk