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. Quantitative, computational, or mixed-method approaches are particularly encouraged, including but not limited to geospatial analysis, machine learning, predictive modelling, and causal inference techniques
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-phase mesoscale and/or continuum-scale simulations 3. Contributing to and maintaining open-source software packages related to reaction pathway analysis, mesoscale and/or continuum-scale modeling, and
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the projects. Coordinate own day-to-day work to support the project. Other Responsibilities: Conduct analysis on RCSI faculty AI literacy training requirement and channel learnings from the AI2MED project
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for personalised medicine by advancing current methodologies for the detection and sequencing, synthesis and analysis and target identification and delivery of NAs . Appreciation for interdisciplinary work and
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or thermal analysis, supported by hands-on laboratory experience. Familiarity with cell culture and in vitro evaluation techniques, particularly for assessing cell viability, biofunctionality, and scaffold