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curriculum (AI, Machine Learning & Pattern Classification, Probabilistic Models) Independent and collaborative research in the fields of computational (audio) perception and Music Information Research (MIR
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, and practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Supervision of students in seminars
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Sciences (80%); Medical-Theoretical Sciences, Pharmacy (10%); Veterinary Medicine (10%) Keywords Mitosis detection, Computer-aided pathology, Machine Learning, Deep Learning, Dataset, Tumor Research in
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of radiological and histological images. Their work includes applying machine learning and artificial intelligence for tasks such as predicting treatment responses in different types of cancers and automated image
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The Working Group "Mathematics of Data Science" of the Department of Mathematics and Scientific Computing at the University of Graz will carry out a research project on machine learning approaches for data
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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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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.05.2028 Reference no.: 2196 Among the many good reasons to want to research and teach at the University of Vienna, there is
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: Good German speaking and writing performance. Sound basic knowledge in the area of mechanical properties of materials. Basic knowledge of fracture mechanics, materials testing and machine learning
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14 Feb 2024 Job Information Organisation/Company Johannes Kepler University Department the Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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implementation of experiments with the application of machine learning and artificial intelligence to problems in agriculture and forestry The focus of the research activities is on the field of "Digital