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detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical environments. Interest in AI sustainability, including resource efficiency, scalability
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. Furthermore, you will apply these tools to help us investigate the potential causes and timings of flare ups during patients’ daily lives. You will work primarily with video data, musculoskeletal models, and
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, testing, verification, security analysis, deployment, and monitoring Development of generative AI methods for automated test-case generation, software validation, vulnerability analysis, and debugging
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critical applications. Event-based control approaches can greatly reduce communication by transmitting information only when required, while potentially generating complex, chaotic sampling patterns
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. This will involve testing healthy and autistic human participants on a new platform to diagnose autism from eyetracking data. It will involve collecting data, extensive computational analysis of the data, and
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characterization, o microscopy and metallurgy, o (micro-)mechanical testing, in-situ testing and digital image correlation, o numerical analysis of experimental data. We look forward to receiving your application
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2 Sep 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Information Security Research Field Computer science Researcher Profile First Stage Researcher
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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and biomechanical assessment of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging
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2 Sep 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Information Security Research Field Computer science Researcher Profile First Stage Researcher