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stellar and planetary astrophysics and a strong background in computational astrophysics. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric
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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods
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• Language skills: native-level German, very good written and spoken English, good knowledge of Modern Greek, Ancient Greek, and Latin • IT skills, computer literacy • Ability to work in a team Desirable
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completion of the VBC PhD programme selection What we offer: Employment duration: 4 years Fair salary: EUR 3.776,10 gross per month (on a full-time basis), paid 14 times per year. Job grading in accordance
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| Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 02.04.2032 Job ID: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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well as the teachers program in Ethics, as well as in the Master’s program in “Interdisciplinary Ethics.” In these areas, you will regularly teach courses on the basics of philosophical ethics, the history of ethics
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Resources Management to support the development of the University’s new undergraduate program in this area and to teach undergraduate and graduate courses (see study programmes ) . This is a full-time
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spintronics. The position is embedded in a growing, internationally connected research program led by Prof. Dr. Benjamin Jungfleisch and focuses on nanomagnetism, spin-wave physics, spintronics and functional
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments