44 electronics-engineering-"https:" "https:" "https:" Postdoctoral positions in South Africa
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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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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The University of Manchester has a strong history of research into offshore renewable energy, with leading international activity in wave hydrodynamics and computational engineering. We are here
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Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. Read more: https
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work published in Nature 2023, 613, 689. Overall Purpose of the Job Find out more about the Larrosa and Bures groups at: https://personalpages.manchester.ac.uk/staff/igor.larrosa/home.html 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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design and testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on
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Molecular Biology: https://www.umu.se/en/department-of-molecular-biology/ · Laboratory for Molecular Infection Medicine Sweden (MIMS): http://www.mims.umu.se/ · Nordic EMBL Partnership
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 17 days ago
requirements, we encourage you to apply. For further information about CLS and to register your application please visit: https://learning-systems.org Keywords: optimization Machine Learning Control Systems
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system