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performance indexes. • Introduction to optimization. • Stochastic optimization. • Simulation, validation, and testing of the Power-to-H2-to-Power cycle. Requirements Research FieldEngineeringEducation
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disease, subject to population genetics forces like mutation, selection and stochasticity. Our group is particularly interested in how the evolution and survival of cancer cell populations relies
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approaches, ranging from deterministic models, stochastic compartmental models, and individual-based models. Use simulations of interventions (e.g. mosquito control) to feed mathematical disease models
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stochasticity. Our group is particularly interested in how the evolution and survival of cancer cell populations relies on mutation influx and in how we can identify cancer driver events from observed mutation
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, selection and stochasticity. Our group is particularly interested in how the evolution and survival of cancer cell populations relies on mutation influx and in how we can identify cancer driver events from
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: In Stochastic Simulations. Experience in functions similar to those described, specifically in the development of research activities, both in the university and industrial environment, will be valued