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of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together
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of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and Machine Learning. The research objective
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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empirical social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network
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close-range photogrammetry (e.g., using drone and terrestrial LiDAR images) and advance the research field of photogrammetry, considering computer vision and artificial intelligence methods. Air
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. Close collaboration with research groups in theoretical solid-state physics/chemistry, machine learning, and artificial intelligence is expected. Close cooperation with industrial partners and the
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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Analysis and Machine Learning. The research areas cover a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and Machine Learning. The research objective of this position is to design and conduct studies