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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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platform for continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological
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Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
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flexible, meaning that the postdoc will have the opportunity to design studies, in coordination with the PI, which align with the researcher’s interests and methodological skillset. The postdoc will also
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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built into the design of platform tools, and state regulatory initiatives. Subscription platforms like Patreon or OnlyFans, fundraising platforms like Kickstarter, or donation tools built into video
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of Computer Science (CS) and Sustainability and Planning (PLAN). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate
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Feb 2026 Is the job 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