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combining field sampling with laboratory experiments and statistical modelling to quantify genetic variation in complex traits, the candidate will test whether these contrasting histories have driven
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-derived myeloid cells, and relevant T-cell co-cultures. Model the PBC liver microenvironment using bile acids, inflammatory cytokines and patient-derived liver-conditioned media. Lead mitochondrial
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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that can be targeted to preserve functional beta-cell mass and prevent disease progression. The lab integrates innovative genetic mouse models, human islets and pancreas slices, advanced imaging, and
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following projects: Project #1 Title: Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG) Project #2 Title: Building an Eco-system
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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candidates may come from a wide range of disciplinary backgrounds and have prior experience working at any stage along the translational research spectrum or on any level within the socio-ecological model
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We are seeking two post-doctoral candidates for research in the area of food and maritime supply chain resilience analysis. The responsibilities are as follows: (1) Develop resilience models
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, interpretability and cognitive modelling of language models. The group is part of the UCL ELLIS Unit and has links to the UCL AI Centre and UCL Computer Science. About the role The postholder will carry out original
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. The lab employs a combination of cellular and molecular techniques, mouse models and patient samples to assess these areas. For more information on Dr. Vasavada’s research please visit here .