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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 cryptography. Through
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research environment at the University of Vienna. Located in the Department of Functional & Evolutionary Ecology, the new position will contribute to our research and teaching in the fields of aquatic
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or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
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stellar population models applied to state-of- the-art spectroscopy requires novel optimisation algorithms and efficient programming. • You can show a proven track record in object-oriented programming as
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stellar population models applied to state-of- the-art spectroscopy requires novel optimisation algorithms and efficient programming. • You can show a proven track record in object-oriented programming as
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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control algorithms and forecasting tools under realistic and reproducible conditions. You will collaborate with your team and project partners and bring your own ideas to help us define national and
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Historical Ecology, Evolutionary Morphology, Geobiology, Palaeobotany and terrestrial ecosystems, and Palaeoecosystems. The department is part of the Faculty of Earth Sciences, Geography and Astronomy
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Innsbruck and help bring quantum computing to its full potential. The ideal candidate has achieved excellent research results in several of the following fields: Quantum algorithms Quantum complexity Quantum
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Responsive Sensing and Analytics team specialises in developing efficient and scalable algorithms designed to equip emergency services with critical safety information and analytical insights. Leveraging