50 parallel-programming "Intelligent Systems Group" Postdoctoral positions in South Africa
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boundary layer methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C
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Python programming skills to implement and prototype research ideas. • A solid mathematical foundation to support the design and analysis of algorithms and systems. • Curiosity, motivation, and the
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 26 days ago
Phd/doctoral Tuebingen, Germany Apply by Nov 02, 2026 Max Planck ETH Center for Learning Systems Max Planck Institute for Intelligent Systems 72076 Tuebingen Germany Keyboard shortcuts Map data ©2026
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for
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application deadline is Monday, November 9, 2026. Interviews are tentatively planned for December 10, 2026. The positions are hosted within the Natural Language Processing (NLP) research group https
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and is based at Aalborg University’s campus in Aalborg. You will be part of the research group Hydrogen and Electrofuels, which is placed in the section for Thermal Engineering. The position is
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period of 24 months and is based at Aalborg University’s campus in Aalborg. You will be part of the research group Hydrogen and Electrofuels, which is placed in the section for E specialised in Thermal
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beamline. The successful candidate will join the Papp Team ( https://www.embl.org/groups/papp/ ) and collaborate closely with the CAD, mechatronics and software engineers of the group. The commissioning
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) research group. The research group focuses on the predictive modeling, characterization, and quantitative analysis of structural degradation in laminated composite architectures. Their primary focus lies