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such as energy/resources crises and climate change.Fundamental changes to earth system processes and elemental cycling, the fate and transformation of emerging chemical and microbiological contaminants
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expertise in Microbiology (particularly DNA/RNA sequencing and microbial culturing) or Optics/Engineering (optics, electrical engineering, bioengineering, mechanical engineering). Required qualifications (All
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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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including deep phenotyping, single cell and immunogenetic analyses could be used to stratify patients or investigate mechanisms of response and/or resistance to therapy. Depending on your specific interests
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, Forestry, Landscape Architecture (peak disciplines), Ecology, Agriculture and Forestry Economic Management, Design, Biology, Mechanical Engineering, Civil Engineering, Environmental Science and Engineering
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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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, (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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: (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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) 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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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