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-5/P, TROPOMI) with numerical modeling to monitor air quality and environmental risks. Key objectives include developing high-resolution maps for atmospheric pollutants (CO, NOX, SO2, NH3, OCS, CH4
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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l'hydraulique de surface serait un plus.Background in applied mathematics (PDEs) with an experience in coding & numerical methods. A basic background in fluid mechanics/ free surface hydraulics would bring added
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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/ applied mathematics (PDEs) with an experience in coding & numerical methods. A basic background in fluid mechanics/ free surface hydraulics would bring added value Additional Information Work Location(s
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pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and