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- University of Vienna
- AIT Austrian Institute of Technology
- Iventa Austria Personalwerbung GmbH
- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck (IQOQI-IBK)
- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQI-Vienna)
- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE)
- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna IQOQIVIE
- TU Wien
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location in Vienna (Giefinggasse, 1210). The Center develops key technologies for the intelligent production and automated industry of tomorrow. By combining artificial intelligence, computer vision
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science research management, particularly in the establishment, operation, and further development of research infrastructures, as well as with outstanding research expertise in manual and computer-assisted
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-scale LiDAR, image, and sensor data. The goal is to enable physical AI for large-scale machinery, such as cranes, by designing efficient world model architecture that run on on-device hardware. Your work
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the field of empirical social research, combining different types of data (narrative and linguistic data, observational data and field notes, autobiographical documents and artefacts) and applying your
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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, information theory, biophysics, and more. Working with us means learning something new every day – all of us, from bachelor student to professor. Your future tasks: You will actively participate in research
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buildings. The PhD project focuses on the development of novel applications for the use of earth observation data in transportation infrastructure monitoring. The research covers various modes of transport
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, eye-tracking research), and statistical data analysis. The position is advertised to the extent of 40 hours/week (100%) for the period of absence of the holder of the position. There is the possibility
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, analyzing and visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your