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Field
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data
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the EU Research Framework Programme? Other EU programme Reference Number TRB/2025/00026 – ESA-POGS - QKD Is the Job related to staff position within a Research Infrastructure? No Offer Description Note
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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data
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transparency and trade secret claims of regulated actors? And explore legal arguments in support of algorithmic transparency and data access for public interest research? How does EU law balance transparency and
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to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude
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performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven
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starting date is November 2025. The topic of the PhD project will be theoretical research in discrete optimization, with a particular focus on either graph algorithms or multiobjective optimization
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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algorithms. The targeted starting date is 1 September 2025,or as soon as possible thereafter. Project description This project will explore the algorithms, advantages, and applications of quantum computing