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Field
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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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. Empa is a research institution of the ETH Domain. Your tasks Optimizing vehicle aerodynamics to reduce transportation emissions, understanding airborne disease transmission, and predicting climate
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for diversification and optimization of energy recovery and conversion systems to ensure a stable and secure energy supply. Among potential energy sources, solar radiation, biomass combustion or gasification
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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computationally. This combined analytical and theoretical approach will identify optimal catalyst architectures and substrate classes to achieve highly selective and previously inaccessible catalytic outcomes. In
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description of the breakdown mechanisms in order to propose an optimal design for increasing the blocking voltage of the studied devices. In addition, standard reliability tests (HTRB, HTGB) of the prepared
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conversion systems, for example in fast battery chargers for electromobility, renewable energy sources (solar, wind), as well as in the defence sector. This work will focus on the optimization of fabrication
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sustainable and responsible fabrication of semiconductor devices and integrated electronic circuits monitor processes in situ to understand and optimize them, modify process parameters and conditions or replace
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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) combine their expertise to fully develop, that is including sub-systems design and optimization, a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In this project, LMFA