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scenarios such as price variations in the market) to determine potential hot spots in the process which affect the feasibility of the technology and to determine if it is better to commercialize the process
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biology, molecular self-assembly, physics, chemistry and other related fields will be considered, but should have an interest in applying ideas from algorithms and computer programming to the molecular
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to the successful delivery of the FLOW project. The ideal candidate will have expertise in energy systems, electric mobility, smart grid technologies, or data analytics, and will work closely with interdisciplinary
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candidate with a background in computational musicology, digital humanities, computer science, artificial intelligence, mathematics/statistics, with a PhD in one of these fields or a closely related field