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. Candidates must have: A PhD with a strong component in machine learning and deep learning (or a PhD defense planned for 2025), Research contribution in deep learning and application domains such as computer
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, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Internationally highly esteemed
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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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of applicant to the publication, number of citations, impact factor of the journal), h-index, monographs, participation in international conferences (outlining the invited lectures), patents, projects
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of citations, impact factor of the journal), h-index, monographs, participation in international conferences (outlining the invited lectures), patents, projects (indicating the role of the applicant in
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of applicant to the publication, number of citations, impact factor of the journal), h-index, monographs, participation in international conferences (outlining the invited lectures), patents, projects
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic