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skills including molecular biology techniques, cell culture and genotyping techniques, particularly using unlabelled probe melting analysis. Applicants are invited to contact Prof. Yip Shea-ping
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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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exceptional experimental, writing, and communication abilities. Preference will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell
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project - “Sensing in 6G cellular networks”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience
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are in the areas of extracellular vesicles & cell therapy, immunotherapy, nucleic acids therapeutics for brain cancer and neurodegenerative diseases. Duties and Responsibilities: Design and develop small
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people’s lives taking research a step beyond the lab. Research projects we are looking to pursue are in the areas of extracellular vesicles & cell therapy, immunotherapy, nucleic acids therapeutics
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
studies using animal models (e.g., transgenic mice) to evaluate disease progression and therapeutic efficacy. Utilize induced pluripotent stem cell (iPSC) technology to create disease-in-a-dish models for
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. Applicants should possess a Ph.D. degree in chromatin biology, epigenetics, structural biology, cell biology, or a related field, and demonstrate exceptional experimental, writing, and communication abilities
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
cell (iPSC) technology to create disease-in-a-dish models for high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel