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biological systems. Project description Ordinary differential equation (ODE) models provide interpretable descriptions of biological processes, but they are often incomplete: mechanisms may be only partly
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Lähdesmäki leads Aalto’s Computational Systems Biology group and has extensive expertise in Bayesian inference for biological systems. Project description Ordinary differential equation (ODE) models
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modelling. Key tasks and responsibilities: Develop and implement data‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation
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data‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation), calibrating against solar/stellar observations. Design, run, and