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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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applications in image analysis and machine learning, as well as in digital signal processing and acoustic imaging. There are about 20 Postdocs and PhD research fellows in the group with financing from a variety
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3 Aug 2026 Job Information Organisation/Company Max-Planck-Institut für Bildungsforschung Research Field Computer science Researcher Profile Other Profession Positions Postdoc Positions Application
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diffraction imaging modalities - topotomography, dark-field X-ray microscopy, and Bragg coherent diffraction imaging - has emerged over the past decade that can resolve 3D defect architectures and strain fields
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
- $ 64,000 commensurate with experience Minimum Experience/Education A Ph.D. or equivalent degree in the last five years. (Note this position is for 2 postdocs) Departmental Preferred Experience, Skills
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), an architecture that liberates the replication of chosen genes from the low mutational speed limits of genome propagation, enabling continuous accelerated gene evolution at scale in vivo. Three current major
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to the transition towards net-zero carbon emissions? The group of Prof. Anqi Wang at KAUST is recruiting several postdocs to join our dynamic team. Our research is highly collaborative and interdisciplinary
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» Nuclear engineering Engineering » Control engineering Engineering » Mechanical engineering Physics » Electronics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient simulation ML-supported optimization of HPC software Jarli & Jordan/ UiO via Unsplash