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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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. Have strong writing and oral communication skills. Are fluent in English. Expertise within gas fermentation should be documented with the PhD thesis and/or relevant publications in international journals
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environmental scientists/engineers to generate key indicators and eventually, building a database and open-source models to be executed by the global biotechnology community. One of the key aspects of this PhD