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Field
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intelligence (AI)/machine learning (ML) methods to early detect and predict cardiovascular diseases from real-world, multimodal clinical data Identifying novel, e.g., AI/ML based, digital biomarkers
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disciplines relevant for the position. Outstanding scientific qualification and relevant doctorate in the field of high-voltage engineering Experience in the application of machine learning in power engineering
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developing AI/ML methods or being enthusiastic about learning AI/ML methods for medical applications Excellent verbal and written English skills Experience in tutoring PhD and Master students Willingness
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(AI)/machine learning (ML) methods to early detect and predict cardiovascular diseases from real-world, multimodal clinical data Identifying novel, e.g., AI/ML based, digital biomarkers Investigating
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comparable tertiary level education corresponding to the profile of the position (technical studies, natural sciences and/or human medicine) teaching experience experience and expertise in machine learning and
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& 3D vision systems that go beyond the state of the ar t, by developing advanced vision sensor concepts , designing scalable embedded vision systems , and applying machine learning methods to conduct
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 2231 Among the many good reasons to want to research and teach at the University of Vienna, there is
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 2208 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of
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production Use of new and future digital tools in the field of materials research (AI/machine learning, digital twinning of material development and manufacturing processes) "High-throughput processing
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of Pathophysiology Job Reference Number: 62022-2024-000779 A newly established research group within the department of pathophysiology is looking for a highly motivated PhD student. The group focuses