17 evolution "https:" "https:" "https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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. They should be self-motivated, responsible and able to work independently as well as in a team. The appointee will work on interdisciplinary projects related to the development of novel therapeutic agents
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team. The appointee will work on interdisciplinary projects related to the development of novel therapeutic agents targeting cancer-related proteins for therapy. In particular, the appointee will utilize
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from the HKMoA collection. This Fellowship aims to support research into the development of material techniques and practices in Chinese painting, including ink, pigments, seals, supports, and mounting
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. Contribute to supervision of students and assist in project development. Requirements A Ph.D. in Remote Sensing, Environmental Science, Marine Science, Computer Science, or related fields (obtained within
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are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee will work on projects related to oral microbiology and organoid development
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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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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process and analyse data, prepare manuscript and reports, supervise junior research staff, assist in the development of new research initiatives, and perform other research-related duties as assigned
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stem cell biology, molecular biology, developmental biology, or a related discipline. Strong research background in reproductive biology like endometrial biology or embryo development is highly
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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