55 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Hong Kong
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/organoid culture, cellular/molecular biology, flow cytometry, animal studies, and cancer-related research work. Applicants should have good communication skills, be self-motivated, have the ability to multi
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Ph.D. degree preferably in stem cell biology, molecular biology, developmental biology, or a
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availability. Applicants should possess a Ph.D. degree in Biochemistry, Molecular Biology, Cell Biology, Microbiology or other relevant biological disciplines with an excellent publication track record
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as well as in a team. Research experience in mouse work, molecular biology, immunology or infectious diseases is preferred. The appointee will participate in research projects related to translational
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, analysis and deep learning, 2) biostatistics and health/clinical data analysis or 3) cellular and molecular techniques will be an advantage. Opportunities for publication and independent development will be
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integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies
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an immunology focus (characterising immune mechanisms) or a molecular virology focus (vaccine development). For enquiries about the duties of the position, please contact Ms Helen Chan at homchan@hku.hk . Those
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availability). The Department provides an open, supportive, dynamic and motivating academic environment with the possibility to work on the cutting-edge research project related to the spatial transcriptome
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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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processes. c) Digital Twin System: We aim to construct a digital twin framework that integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables