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External Collaborator- Researcher Mathematician – Mathematical Modeling & Data Analysis (1 Position)
Data 2. D2.3 – Durability data • Work Package (WP) 3: Modelling and Simulations Deliverables: 1. D3.1- CFD Report 2. D3.2- Thermo Report 3. D3.3- Optimized Model Report Where to apply E-mail sarris
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transport and non-linear chemistry of plumes, and develop observational constraints for high-resolution simulations and subgrid representations in large-scale models. The overarching aim of this PhD project
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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. Responsibilities Writing codes(C++, Python, MATLAB) and running simulations related to modeling complex disordered structures, troubleshooting, and refining codes. Working with the advisor in analyzing and
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, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and
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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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duties and responsibilities Carry out research in modelling and simulation of particulate processes using appropriate software packages for techniques such as DEM, CFD, FEA and Machine Learning. Develop
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understanding mass transfer phenomena, separation, and phase changes. Proficiency in simulation, modelling, and optimization tools will be a major asset. The recruit will be integrated to the team’s ongoing
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transportation systems. Objectives: collaborate with first-cohort researchers to further develop and apply IAM-related simulations within the MATSim framework extend agent-based travel behavior modeling beyond