567 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions in Austria
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods. Your qualifications as an
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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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20 Feb 2026 Job Information Organisation/Company Universität Wien Research Field Biological sciences » Biological engineering Biological sciences » Biology Biological sciences » Other Researcher
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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we
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cell biology techniques, including tissue culture, Western blotting, and flow cytometry. An Analytical Edge: You don’t just collect data; you enjoy the "puzzle." You possess sharp analytical thinking and
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Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian
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chapters including information about the completion status of each chapter, and a work schedule for the completion of the doctoral thesis (no more than 4 pages including a list of references, font size
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and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
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research interests. A copy of the doctoral degree certificate (PhD). Reference letters (or the contact details of referees willing to provide confidential references upon request). For further information
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The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through the new Data Stewardship program. The Faculty of Business