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Field
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, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in
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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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16 Jul 2026 Job Information Organisation/Company UNIVERSITAT POMPEU FABRA Department Department of Economics and Business Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Aug 2026 - 23:59...
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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oceans. The PhD student will be supervised by Dr Drage, and will closely collaborate with several international colleagues, primarily Prof. Minter (University of Portsmouth, UK) and Dr Pates (UCL, UK). The
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(University College London, UCL). The workplace is Bergen, Norway About the work tasks: Investigate and explore ethical issues (e.g. human dignity, social justice, or human agency, human flourishing) in
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the University of Edinburgh, UCL and University of Bristol, and you will have the chance to work with researchers across our network at other UK universities. The PhD studentship would be co-located with
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secondments of the PhD student at other involved parties in the network such as the company QuiX (Enschede) and UCL (London). Other trainings and collaborations in the area of quantum error correction
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Engineering » Computer engineering Engineering » Knowledge engineering Mathematics » Algorithms Mathematics » Mathematical logic Technology » Computer technology Technology » Knowledge technology Researcher
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and