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Field
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ecosystem impacts. Biogeochemical models (BGC) play a critical role in the MRV framework by providing numerical simulations to evaluate air-sea CO₂ fluxes and associated biogeochemical changes. However
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experimental data and ensure optimal use of the results. - Contribute to the preparation of scientific publications, reports, and dissemination activities, promoting the project results within the scientific
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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of buildings with standard lightweight façades. Development of an innovative numerical model in EnergyPlus that allows for the simulation of buildings with dynamic thermal insulation systems. Implementation
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specialized differentiable numerical solvers for trajectory optimization that generate informed motion trajectories for contact-rich manipulation tasks, handling complex dynamics and physical constraints
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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
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collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing, focusing on abrupt climate
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 8 days ago
the gasification of solid waste to obtain H2, and studies its impacts and use in various sectors. To do this, ML and numerical simulation will be applied, optimizing the operating conditions to obtain a H2-rich gas
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. Proficiency in at least one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming