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Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Are you an innovative researcher with a strong background in CFD, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions
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. The successful candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on the development of quantum computation applications across various scientific and
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Researcher (R3) Country Morocco Application Deadline 7 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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2 Sep 2025 Job Information Organisation/Company Austrian Academy of Sciences, The Human Resource Department Research Field Mathematics » Computational mathematics Researcher Profile Recognised
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The AVALON project focuses on designing reliable, secure and
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The AVALON project focuses on designing reliable, secure and
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to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis, scientific computing, and either optimization or machine