71 high-performance-computing-postdoc PhD positions in Ireland-University-Ranking-2024 in Denmark
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- Aalborg University
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the computing continuum era. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology, driving change, and contributing positively to society. We strive for a
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Graduate School at Arts
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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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candidate therefore has a high academic level and a good grasp of research designs and methods. Strong computational skills are necessary. The application deadline is 15 September 2026, at 11.59 PM/23.59
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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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programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
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, teaching development, and program development, respectively, plus a small administration. We have a good collegial atmosphere characterized by a high degree of collaboration and continuous professional
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or more stays at the collaborating partners in Gothenburg of a few weeks to a few months, and close collaboration with both UCPH-based and visiting PhD students and postdocs. Our group and research – and
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PhD fellowship in Experimental Quantum Computing PhD Fellowship in Semiconductor Spin Qubit Control and Quantum Error Correction NQCP, Niels Bohr Institute Faculty of SCIENCE University
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy