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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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independently and as part of a team experience with advanced social sciences research methods Applicants should contact and secure mentors, one from each of FOSS (HKU) and ISR (Michigan) to get their interest and
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Policy, Social Work, or related disciplines. They should have strong knowledge and skills in statistical methods and quantitative research, as well as excellent academic writing skills. Candidates must
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research
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. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
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of renewal subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas