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Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
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certificate recommendation letters, if available (max 3) writing samples (max 3), e.g. PhD thesis and published papers Your Profile strong background in machine learning/artificial intelligence experience in
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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 23 hours ago
machine learning Experience in computational methodologies for at least one or more omic technologies At least one peer reviewed publication LanguagesENGLISHLevelGood Additional Information Additional
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of Statistics and Operations Research( https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible
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/ ) at the Department of Statistics and Operations Research (https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting
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12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. About the team Join the Responsible Machine Learning (ML
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are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a
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Organizational unit: Institute for Application Oriented Knowledge Processing Entry date: 07/01/2026 Job Reference Number: 151020-2026-001855 Job Duties: Research and cooperation in Machine learning projects in
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programming and instrument control using Matlab, Python, Labview etc Machine / deep learning expertise Strong analytical skills and ability to work in a multidisciplinary team Excellent communication and