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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing to the translation of research
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available in the further tabs (e.g. “Application requirements”). Programme Description The International Climate Protection Fellowship supports prospective leaders working academically or practically in
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available in the further tabs (e.g. “Application requirements”). Programme Description The grant is intended to support highly qualified scientists and scholars of all disciplines from developing and
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Young Scholars, and “Ten Thousand Talents Program”), and 41 national-level young talents. In recent years, the university has entered a new stage of innovation-driven development, positioning itself as a
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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part in the faculty’s approved PhD program, and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful