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Employer
- University of Innsbruck
- Silicon Austria Labs
- AIT - Austrian Institute of Technology
- AIT Austrian Institute of Technology GmbH
- Austrian Academy of Sciences, The Acoustics Research Institute (ARI)
- Austrian Academy of Sciences, The Human Resource Department
- Graz University of Technology
- Medical University of Vienna
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
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Field
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Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing training
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Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing training
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and Machine Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing
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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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/ 30h per week) This position is associated with the WWTF project "ANIML – Analysis of Nonhuman Intercommunication with Machine Learning", in which state-of-the-art signal processing and machine learning
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scientific community the language used may be German, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire
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scientific community the language used may be German, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire
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). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment
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processing and machine learning methods such as Compressive Sensing, Super-Resolution Imaging, and Deep Neural Networks will be crucial in enhancing data extraction and analysis. Acoustic techniques like laser
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. Knowledge of hardware description languages is an advantage. Experience in machine learning, including deep learning (LSTMs, CNNs, transformers, ...); specific experience in distributed computing systems (fog