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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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paralleling SiC MOSFETs and power modules and must have experience with hardware methods to attenuate the oscillations successfully. Your experimental experience must be relevant to the tasks and obtained from
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management