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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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proof-of-concept study using protein A resin (as a model resin), 2 IgG product streams produced by a platform CHO cell lines and advanced analytical methodology (including LC-MS, ELISA and CE-SDS
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at the interface of dentistry and medical microbiology. The goal is to establish and expand an oral biofilm engineering platform, focusing on innovative in vitro and ex vivo models (e.g. dynamic
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-edge technologies, including genetically engineered mouse models, patient-derived models, single-cell and spatial genomics, organoid systems, and preclinical therapeutic studies. Learn more about our
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Uganda. Building and extending a decision-analytic (Markov) model to estimate the cost-effectiveness of telemedicine with self-monitoring and community medication delivery, relative to standard care, from
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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network or computational modeling. The ideal candidate will have a strong interest in applying these tools to theory-driven questions of group formation and intergroup relations, but we are also open to
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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experience in pulmonary vascular disease or related areas, with demonstrated expertise in several of the following techniques: • Endothelial cell culture. • Animal models of cardiovascular diseases. • Western