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Framework Programme? Other EU programme Reference Number BASQ/2026/001 Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Quantum Computing
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
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The Wesleyan Media Project (WMP), in collaboration with Wesleyan University’s Hazel Quantitative Analysis Center (QAC) at Wesleyan University, is seeking a postdoctoral researcher in computational
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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UiO/Anders Lien 28th February 2026 Languages English English English Postdoctoral research fellowship in the computational analysis of gesture-vocalization interactions Apply for this job See
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Deadline 3 Apr 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types