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macrophages toward a pro-inflammatory, anti-leukemic state. The work will combine human monocyte-derived macrophage models, leukemia-conditioned macrophages, primary AML patient samples, chemical biology
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made large-scale models available to the public, which enables the integration of AI in everyday objects and tasks. As a result, the model scale is doubling yearly, causing a proportional increase in the
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the brain white matter. The network aims to strengthen the full translational pathway from disease mechanism and model development to preclinical therapy testing, clinical readiness and patient-informed
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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two clinical studies in Kenya and Zambia, assessing whether E. coli carriage contributes to Enterobacteriaceae colonization and ARG transmission. Finally, the PhD student will use agent-based modeling
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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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for impact nationally and internationally. Recognized leadership in the field of medical devices. Ability to analyze complex information, make timely decisions and communicate clearly with all internal and
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the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference.
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photothermal approaches and design novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology