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Field
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of teaching Your Qualifications: The successful candidate must hold a Doctorate/PhD degree or equivalent in machine learning or closely related field, such as Computer Science with strong focus on machine
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project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g. macroscopic Maxwell equations) using physically
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fields. Proven knowledge in artificial intelligence and machine learning applications (e.g., PyTorch, TensorFlow). Familiarity with design computation tools like Grasshopper for Rhino3D and experience in
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diagnostic imaging methods, as well as associated machine learning applications to strengthen, expand and cross-link existing research topics within the university. Additional Information Selection process The
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able to teach in German within three years from the signing of the contract Advanced computer skills are desirable. Ability to work in a team. Organisational skills. Additional Information Benefits What
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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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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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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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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
learning and Bayesian methods for applications in computational biology and medical informatics. A PhD student under his supervision will lead the machine learning part of the project, developing, optimizing