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bioinformatic techniques to investigate mating and its consequences between strains of Candida albicans, a common cause of fungal infections in humans. Specific aims are to investigate the ability of strains from
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. The candidate will have access to cutting-edge imaging, genetic and bioinformatics cores/facilities to understand mechanisms of bone repair and regeneration. The project is in collaboration with the Department
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on
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approaches to advance research in melanoma and cancer biology. A PhD in spatial transcriptomics, computational biology, bioinformatics, or a related discipline, with demonstrated research experience in
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bioinformatics analysis. The role holder will be expected to plan, conduct and analyse research using appropriate approaches and techniques, and will be responsible for writing up the results for publication
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, molecular biology, or related disciplines. Additional Qualifications Considered Research experience in genetics, next generation sequencing, bioinformatics, biophysics, physics, math and engineering may also
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Utilising our world class facilities • multiple omics • cellular and sub-cellular imaging • biophysics • structural biology - cryo-EM • bioinformatics/AI • CL3 facilities All
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closely with local Singapore and regional partners to conduct single cell transcriptomics, host genomics, BCR sequencing, and bioinformatic anlaysis to rapidly screen and identify antigen-specific