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methods, simulating the elevated fission-product inventories of high-burnup nuclear fuel. Preparation of radionuclide-containing model compounds, in particular Pu-based perovskite phases, during research
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days agofor combined heaT, poweR, hydrogen fUel and wastewater treatMent”. This workplan aims to integrate a simulation model of a Photoreactor for wastewater treatment into an existing optical-thermal simulation model
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). The project focuses on the assessment of robust, accurate, and automated CFD methodologies for aerodynamic analysis of cycling performance, including workflow automation, mesh generation, simulation, post
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, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations. These models will improve predictions of mineral alteration, scaling and long-term
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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position within a Research Infrastructure? No Offer Description We are looking for highly motivated Postdoctoral Researchers in Battery Modelling and Multiphysics Simulation to develop a modelling framework
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential