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Offer Description In the new special research area (SFB) on "Mathematics of Reconstruction in Dynamical and Active Models" teams at the University of Graz, TU Graz, TU Vienna, and University of Klagenfurt
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of development methodology, in particular systems engineering and model-based systems engineering - and publish your research results in specialist journals and present them at conferences Optimization of teaching
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Description Your Responsibilities Participating in research projects related to Modeling and Integrated Assessment of Urban Water Systems . Writing scientific publications in national and international
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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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Psychology which are tailored to the requirements of the Bologna model, opening the door to new, cutting-edge health professions. KL is committed to raising its profile in specific areas of biomedicine
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science, mathematics, life sciences and beyond. Open PhD Projects in the summer PhD Call:*Artificial Intelligence & Machine Learning:Pharmacokinetic modelling of [18F]FET PET in Gliomas and associations with tumor
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actionable musculoskeletal models and real-time risk assessments. For detailed information on the PhD project (PhaNuSpo#3- Kempe), information on the documents required for your application and a link to the
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. The aim of this project is to create orthorectified image mosaics and digital terrain models from historical aerial photographs of the Austrian Alps from 1945. This data can be used for many different
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field of experimental characterisation, modelling and/or numerical simulation of innovative/biobased materials and building materials Writing scientific publications as part of the dissertation Organising
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for you! We are seeking a talented Computational Biologist/Bioinformatician to join our team for a PhD position. In the Pediatric cancer initiation group, we are building models based on human iPSC