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work by further developing the code to include time dependent cohesive bonding between the ice blocks. Then you will use the code to model ice pile-up. The work will have a multi-scale component as you
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(AWSoM/IA) to model stellar coronae and winds driven by dynamo‑generated surface magnetic maps. Disseminate results in journals and conferences; contribute to open‑science releases of data and code. In
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experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto
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of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career
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implementation in Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful
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models for gases to solid particles Experimental characterization of fuel particles using FTIR Mathematical model formulation and programming Model implementation in Fire Dynamics Simulator CFD code