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the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will
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important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally
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Language Processing and Machine Learning, in close coordination with the AI & Cloud Manager Collaboration on organizational and administrative tasks as well as evaluation measures, particularly those derived from
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working in a team and communicating Very good computer skills Good English skills (B2) and good German skills (level B1 or willingness to learn German) What We Offer: On the basis of full-time employment
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independently to our research. We mostly work at the intersection of top-down (e.g., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation
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to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for
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lit. b (postdoc) Limited until: 28.02.2030 Reference no.: 4889 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 1 month ago
» Veterinary medicine Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 29 Oct 2025 - 23:59 (Europe/Vienna) Type of Contract Temporary Job Status Part
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) Limited contract until: 28.02.2030 Job ID: 4889 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic