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Field
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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experimental methods, such as XRD, SEM, TGA/DSC, NMR, or synchrotron-based techniques for hydration/carbonation studies is required. Experience with Portland cement, reactive MgO cements, belite-calcium
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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studies using both qualitative and quantitative methods to investigate youth development and social inequalities. The Centre maintains close collaborations with national and international research
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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currently comprising approximately 20 staff members, conducting studies using both qualitative and quantitative methods to investigate youth development and social inequalities. The Centre maintains close
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focused on the electrochemical and structural properties of hybrid soft-matter electrolytic systems. The candidate should be proficient in and apply a wide range of experimental and analytical methods. In
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect