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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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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
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of the Research Ireland project RENEW. This role combines technical expertise in system enhancement and machine learning with strategic business development skills to drive the adoption and market
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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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as a whole or in modules. The TEA will also provide the necessary information to compare the proposed process with current solutions from an economic perspective. The candidate will be part of