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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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model tests on granular flows.PhD position 2# is supported by an Advanced Grant of the European Research Council (ERC). The ideal candidate will focus on constitutive modelling and numerical simulations
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 23 days ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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demonstrated for the first time at industrial scale. While the ICP principle has already been successfully tested in laboratory models, transferring it to industrial applications in the range of approximately 1
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not only with the various working time models but also through the offers for the compatibility of family and career. We offer an annual gross salary of at least € 52,007.20 for a fulltime position. An
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operational challenges. You will model and conduct dynamic system simulations of full cooling systems (e.g. in Dymola) You will conduct experimental investigations focusing on the integration of active cooling
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of this research is to develop structure-property relationship models that can either identify suitable candidates within the existing library or suggest structural motifs for synthesising undiscovered surfactants
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comprise all aspects of applied mathematics, from model development and mathematical analysis to numerical implementation and statistical estimation of models as well as software packaging. What to expect
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Again – AI-driven Voice Restoration for Pathological Speech• Machine Learning and In Silico Modeling of Sex Differences in Temporomandibular Joint Function• AutoPiX – Machine Learning for Imaging-Based
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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models