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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 25 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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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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Vienna, 01.09.2025 We are seeking a highly motivated PhD student with a strong background in molecular biology, cell culture and cancer mouse models. Prior experience with single-cell RNA sequencing (scRNA
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Computation was founded in 1992 to research fundamental problems in information processing, such as the design of computer algorithms, the complexity of computations and computational models, automatic
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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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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research
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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