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clean energy. You will have a chance to work with a large range of industrial partners who will not only deliver training content but also co-supervise research and host secondments. If you want
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empirical approaches to understand how AI-driven technological change reshapes the structure and resilience of labour markets by combining large-scale vacancy data with modern natural language processing
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for biological research. Successful candidates will have an interest in high-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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industrial process data Large-scale polymer production systems Operational constraints and engineering decision-making Direct pathways for translation of research into industrial practice The project is
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are difficult to separate yet retain valuable functional properties such as flexibility, durability, and water resistance. As a result, large volumes are currently downcycled or sent to landfill. This PhD
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of experimental data from literature and project partners will aid towards model validation. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in
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generation and pressure evolution. Our approach will combine physical insight with data-driven techniques and uncertainty quantification, offering fast, reliable predictions and contributing to safer, longer
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a result, large regions of materials processing — including high-temperature steel processing, non-ferromagnetic alloys, and multi-material systems — remain poorly accessible to existing EM techniques
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in