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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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that autonomously optimizes 3D velocimetry measurements by dynamically adjusting camera positions and optical parameters. Integrating the framework within a digital twin environment for pre-training and simulation
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the Graduate School of Chemical and Molecular Sciences Zurich. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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plumes from point sources using the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission
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varied responsibilities in a dynamic, nationally and internationally oriented research environment Access to state-of-the-art experimental and computational infrastructure Attractive employment conditions
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and stimulating PhD position in a dynamic and interdisciplinary research environment with excellent infrastructure. The successful candidate will be embedded in the Urban Energy Systems Laboratory (UESL
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cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding of molecular mechanisms of disease development. PhD
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and/or French is an advantage. Our offer We offer a challenging and stimulating PhD position in a dynamic and interdisciplinary research environment with excellent infrastructure. The successful
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures