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Kong Polytechnic University (HKPU), funded by Hong Kong’s InnoHK programme. Together, we are exploring how artificial intelligence and design can tackle some of the most pressing challenges of the 21st
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between the Hong Kong Polytechnic University (HKPU) and the Royal College of Art (RCA), funded by the Hong Kong SAR Government’s InnoHK programme. Drawing on the research excellence of both institutions
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf . A reasonable estimate for this position is $69,073-$77,030 annually. Percent time: 100% Position duration: 2 years
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rates and conversion efficiencies for different redox chemistries tested in proof-of-concept setup. Address and solve technical challenges related to upscaling of the technology Dissemination of results
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-preserving communication The ideal candidate is self-motivated and can work independently, has a passion for security and privacy topics in different application contexts, and is willing to learn new
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. The researcher will work with Dr. Natalia Vélez on an on-going research project examining how children incorporate different preferences and perspectives to make collaborative decisions. Responsibilities will
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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driven Postdoctoral Researcher to join the groundbreaking AI-Design Lab (AiDLab) – a major collaboration between the RCA and The Hong Kong Polytechnic University (HKPU), funded by the InnoHK programme
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, development, and execution of computer simulations of system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2
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on the analysis of different characteristics of the skin and body fluids, such as sweat and blood. Many of these methods are challenged with quality (accuracy/precision of measurement), power consumption, usability