113 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions in Hong Kong
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, attention and creativity metrics to understand the neural mechanisms behind immersive 3D content creation; (b) develop intelligent intervention strategies: • design adaptive systems, including
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or a related discipline, specializing in labor economics, trade, development, or political economy. The ideal candidate will have substantial experience working with unstructured data, such as LinkedIn
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related discipline. Strong research background in reproductive biology like endometrial biology or embryo development is highly advantageous. They should demonstrate excellent communication skills and the
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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: The successful candidate will be expected to: Carry out high-quality research under the supervision of our experienced faculty members. Participate in the development of theories, and perform numerical simulations
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highly motivated researcher with a PhD degree in economics or a related discipline, specializing in labor economics, trade, development, or political economy. The ideal candidate will have substantial
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the research project - “AI-driven academic and emotional support for capstone success”. He/She will be required to: (a) prepare research reports to be published in high-quality papers in top-pier education
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should be organized, attentive to details, responsible, self-motivated, and be able to work independently as well as in a team. Prior experience working with respiratory viruses, vaccine/drug development
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tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better
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development. He/She will take a key role in all stages of the research, including but not limited to supporting (a) the implementation of surveys; (b) liaison within the team and across teams; (c) data