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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 60900-2026-001896 Is the Job related to staff position within a Research Infrastructure? No Offer
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reducing waste, product failures and emissions. For this master’s thesis you will join our Competence Unit Complex Dynamical Systems , which focuses on the development and deployment of algorithms to control
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. Specifically, our Responsive Sensing and Analyticsteam is developing efficient and scalable algorithms to provide emergency services with the necessary safety-relevant information and analysis results based
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: The successful candidate must hold a completed diploma or master’s degree in mathematics Knowledge of and experience in computer algebra and algorithmic algebraic geometry International experience Enthusiasm
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Application Deadline 21 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | about 1 month ago
19 Mar 2026 Job Information Organisation/Company Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) Research Field Mathematics Researcher
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in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments