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experience in conducting WGS and phylogenetic analysis, and a strong background in bioinformatics, genetics, and epidemiology. The successful candidate should be proficient in relevant software and programming
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development and maintenance of bioinformatics software (e.g., Cytoscape, NDEx and Cytoscape Cyberinfrastucture) and novel biological visualizations. Evaluates state-of-the-art technologies for suitability in
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Bioinformatics to join the MRC/UVRI & LSHTM Research Unit in Uganda. The post-holder will be responsible for coordinating and supporting bioinformatics activities at the Unit and contribute to national and
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FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds
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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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Bioinformatics to join the MRC/UVRI & LSHTM Research Unit in Uganda. The post-holder will be responsible for coordinating and supporting bioinformatics activities at the Unit and contribute to national and
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skills: You have a Masters in computational biology, bioinformatics or related areas You are highly experienced in working with NGS and long read sequencing data You have an active interest in genetics and
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. Qualifications: Minimum Qualifications: Entry Level: Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Epidemiology, or related field. Intermediate Level
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics