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Field
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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-investigator to the BEETHOVEN project. Participation and Completion of PhD courses according to the curriculum Applied Evidence Synthesis in Health Research Educational Contributions: Teach courses in clinical
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Institute of Health (ICS). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career development pathways. Flexible
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cell lines (ii) package promising drug candidates into targeted drug delivery systems and study their efficacy (iii) utilise multicellular 3D cell models to investigate the tissue specificity
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membrane fluidity, flexibility, and expansion ability under oxidative stress in model membranes and in neurovascular cell cultures in vitro Modulation of the endothelial cell membranes, both in vitro and in
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell