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. In particular, priority will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials
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) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Highly
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: (1) hydrogen-related materials, (2) battery materials, (3) quantum materials, (4) semiconducting materials, (5) artificial intelligence materials, (6) metal and inorganic materials, (7) organic
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(e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research. Additionally, the candidate should have experience applying artificial intelligence methods for data analysis
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learning; digital innovation, transformation and disruption; digitally-enabled globalisation; digital entrepreneurship; IT and business value; digital health; artificial intelligence and the future of work