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bioinformatics experts to assess library quality and performance. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and proposing experimental improvements. Support
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to optimize training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
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microbiome or bacterial-host bioinformatics is required. Proficiency in raw data processing, taxonomical annotation, and analyses of 16s rRNA datasets (ie DADA2, MaSalin2, Random forest analyses etc
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. Bachelor of Science in Chemistry Advanced knowledge of bioinformatics tools and packages, including experience in processing and analysing high-throughput sequencing data. Highly proficient in R, Python, and
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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to cutting-edge research in metabolic diseases, including obesity, chronic liver disease, and cancer metabolism. By leveraging animal disease models and bioinformatics approaches, our lab aims to unravel
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sorting, NGS, and bioinformatics data analysis - Assist with the planning and execution of the entire project - Mentor to Research Assistant when needed Qualifications • Qualifications / Discipline: PhD in
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surgery and dissection Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics
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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience