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Sessional Instructional Assistant - MAT322H5F - Mathematical Modelling in Biology(emergency posting)
; predator-prey model; competing species; epidemic models. Examples of partial differential equations; reaction-diffusion equation; pattern formation. Estimated course enrolmen t: 80 Number of positions : 1
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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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Bayesian inference for biological systems. Project description Ordinary differential equation (ODE) models provide interpretable descriptions of biological processes, but they are often incomplete
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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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interdisciplinary work and team collaboration. Skills or experiences in the following areas will be considered as a plus : - Physical modeling and simulation; -Scientific computing and partial differential
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article-based doctoral dissertation. The applicant should have good mathematical skills and be capable of working with linear and partial differential equation systems. Experience with Bayesian