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Field
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are looking for candidates with a technical university degree in, for example, mechanical engineering, computer science, manufacturing engineering, or another relevant field. Strong analytical and communication
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or more of the following areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent
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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different
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programming, algorithm development and deep learning model implementation, and practical experience in drone and boat-based surveys are preferred. Background Investigation Statement: Prior to hiring, the final
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and enhanced post-Moore devices based computational accelerators for key HPC applications and algorithms. Publish work in academic journals and present it at conferences and workshops. Lead and assist
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Qualifications Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI/Machine Learning and
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11 Dec 2025 Job Information Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline
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11 Dec 2025 Job Information Organisation/Company ESRF - European Synchrotron Radiation Facility Research Field Computer science Engineering Physics Physics » Solid state physics Mathematics
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/12/2025 Application process open