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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time: climate change and digitalisation. With a high standard of excellence, we are working to make a...
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Cities" supports cities and their stakeholders in the cross-sectoral transformation process, combining expertise in climate, energy, mobility, and urban planning. With the aim of creating climate-neutral
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of the institute includes numerical simulation of wave propagation processes, modeling of porous media (e.g. concrete), optimization of sustainable buildings and analysis-suitable CAD models. About us Graz
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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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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in judgement and decision-making (e.g., in the context of risk, uncertainty, future thinking), social processes (e.g., interpersonal dynamics, social norms, and influence), and behavioral outcomes (e.g
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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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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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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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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