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related to multiparty computation in quantum networks. The stipend is open for appointment from 1st November 2026 or soon hereafter. The duration of the position is three years. Your work tasks The
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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multidisciplinary environment, and is committed to advancing AI-driven solutions for complex systems. The successful candidate should hold a Ph.D. in Computer Science, Operations Research, Applied Mathematics, or a
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Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers
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languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in algorithms. The position has a duration of 3
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thereafter. We are seeking a highly motivated quantum algorithms researcher to develop advanced computational methods for solving partial and ordinary differential equations (PDEs and ODEs) with applications
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biostatisticians. Your competencies You should demonstrate a strong computational profile and hands-on experience working with complex datasets, alongside high proficiency in programming languages such as Python, R
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for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and
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of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. NQCP is looking for A motivated light systems