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Fellow/Senior Research Fellow in bioinformatics/environmental genomics. This position is part of the research department led by Prof. Stephan C. Schuster, focusing on environmental genomics, culturomics
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area of Bioinformatics to fulfil that vision. The candidate will help drive collaborations with various research groups and initiatives within the school by delivering high quality computational analyses
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Science, or related disciplines Experience in biology, biomedical research, and bioinformatics Proficiency in conducting in vitro cell culture assays, molecular and cell biology techniques Excellent written
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) standard molecular biology, (3) RNA biology, (4) immunology, (5) splicing, and (6) next generation sequencing, and (7) bioinformatics Strong written and verbal communication skills in English Strong
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, protein purification etc.) Conduct human and mouse tissue immunostaining as well as image acquisition and analysis (e.g., fluorescence microscopy) Assist with bioinformatics and computational analysis
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favoured. Ideally, you should have a PhD in Bioinformatics, Data Science, Computer Science, Information Science. Other relevant degrees may also be considered. We are looking for indicators of high
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independent research. Conduct bioinformatics analysis of single-cell RNA seq/ spatial transcriptomics/ spatial proteomics/ population data. Assist in experiments including pluripotent stem cell culture, western
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microbiology, bacterial physiology and bioinformatics Ability to perform DNA and RNA manipulation (e.g., extraction, purification, QC) for genomics and molecular community analysis Ability to perform aquarium
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statistical and bioinformatics analyses of genomics and transcriptomics data Work closely with research assistants/associates, students and collaborators to evaluate, troubleshoot and optimize experimental
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is