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-qualified student with postgraduate degrees in finance, economics, statistics, mathematics, or related disciplines. Research will cover topics in: (1) Financial Econometrics and Forecasting (2) Applications
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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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this context, emerging cryobioprinting technologies present a transformative approach for creating complex, cell‐laden constructs capable of mimicking the architecture and functionality of native tissues
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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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organs that mimic the complexity of their native counterparts. Despite considerable advances in the field, the limited reproducibility and adaptability of bioprinting are significant challenges
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outcomes of complex reactive processes (e.g., electrolyte decomposition, biomass pyrolysis) via a combination of atomistic simulations and CRN ML Desired Qualifications: We are looking for candidates who
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group. The field of additive manufacturing is rapidly transforming the future of biomaterials and tissue engineering by enabling the precise fabrication of complex biological structures with tailored