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morphometrics. Desirable but not strictly required are knowledge and application of Amira and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very
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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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faculty. Our current research focuses on industrial plant security, digital twins, synthetic data for machine learning in privacy research, formalisation of security risk management and security and privacy
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Writing a publication-oriented dissertation within the framework of the project "Hand in Hand for Success: Developmentally Sensitive Support for Children with Different Learning Conditions in Mathematics
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 21 days ago
CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology), we develop agentic AI in the context of the Human Cell Atlas and the European Lab for Learning
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, machine learning, statistical methods and other data analysis techniques willingness to process and link existing data sets at INTK (including RFA, Raman, HSI and FTIR) and to build future work on them
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faculty. Our current research focuses on industrial plant security, digital twins, synthetic data for machine learning in privacy research, formalisation of security risk management and security and privacy
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lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
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no.: 5116 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5116 Explore and teach at the University of Vienna, where more than 7,500 academics thrive