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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 | Working hours: 40,00 | Classification
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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17 Sep 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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Experience and practical knowledge of programming languages and tools (e.g. Python, Java, etc.) Knowledge in Software Engineering, AI, machine learning is an advantage Experience with software observability
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to foster interdisciplinary learning and support young talents in shaping the future of Human-Computer Interaction in an applied setting. There is an optional combination with master thesis projects.
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Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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equivalent fields of study. Position 1: In-depth knowledge in the areas of Biomedical Visualization, Biomechanics, Machine Learning, Development of Server/Client Applikationen, Daten Management. Position 2: In
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ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve
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the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational