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in the field of cancer research The following are considered a plus: Experience with next generation sequencing data analysis or other genome-wide assays Experience with machine learning methods in
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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 on human
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the field of experimental building design and construction, computer-aided methods, analogue-digital production, hybrid processes. Acquisition, supervision and management of third-party funded projects
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spoken German and English skills Very good computer skills Interdisciplinary knowledge in the field of the dissertation Please enclose written reflections on your dissertation project with your application
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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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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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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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of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned
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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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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