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Background: An advanced degree (Ph.D. preferred) in Artificial Intelligence, Computer Science, Engineering, or a related field. Leadership Experience: At least 2 years of leadership experience in academic
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disciplinary curriculum and program design, and demonstrated service to the academic community and/or the public. English is the medium of instruction and administration at HKUST (GZ). HKUST(GZ) is committed
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. Data Analysis and Interpretation: Collect and analyze experimental data, interpret results, and draw meaningful conclusions. Utilize statistical toolsand computational modeling techniques to enhance data
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ICFO is seeking an experienced and highly motivated Digital Transformation Lead to join our team and play a key role in spearheading our institution’s journey towards digitization, automation, and the integration of artificial intelligence (AI) across research, technical, and administrative...
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are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational
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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages
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optical sensors, including in-sensor computing technologies. An expansion towards related thermal technologies, such as thermoelectrics or calorics, is also possible and encouraged. The ideal candidate will
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, optical physics, atomic and molecular physics, plasma physics, soft matter physics, and condensed matter theory and computational physics. There are 12 laboratories and 8 centers in our research system
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Details I. 2025 Excellent Young Scientists Fund Program (Overseas) We cordially invite outstanding young individuals from overseas to apply for the 2025 Excellent Young Scientists Fund Program (Overseas
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transport techniques. As part of this work, the group is participating in a leading international collaboration focused on hybrid photon-phonon-magnon systems, a key area in quantum information