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– Hereby we offer a PhD Thesis focusing on the topic of Transport Modelling for Sustainable Mobility . Our main goal is to further develop and apply the agent-based simulation framework MATSim. The existing
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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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engineering, environmental engineering) In-depth knowledge of: Geotechnics, numerical calculations with discrete element method, model tests, laboratory tests, geotechnical measurements, natural hazards, mass
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Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
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a comparable field of study Modelling experience in the field of water supply or drainage systems and/or data-based models desirable Knowledge of urban drainage, nature-based solutions (NBS), water
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producers study biogenic dye production and fermentation behaviour of native producing strains pre-screen for best conditions for the biogenic dye production in native producers using a multi-variant design
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demonstrate flexibility 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
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, decentralisation, digital organisations Knowledge of qualitative and quantitative empiricism and netnography First publication experience Basic knowledge of sentiment analysis (BERT-based models) and topic modelling
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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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in which diversity is lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We offer