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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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). 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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Biology, Bioinformatics, Cancer Biology, Molecular Biology, Pathology, or a closely related discipline. Strong background in spatial omics technologies (e.g., spatial transcriptomics, high-plex imaging
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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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field work Expertise in metagenomic analysis Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability to work independently, meticulous
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with other LIB researchers of both localities. We expect the candidate to hold a PhD in Evolutionary Biology, Molecular Biology, Bioinformatics, or a closely related field with strong emphasis
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
is important to note that this position is contingent on T32 funding. Education and Experience: PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of
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mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied
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) and other stakeholders in the area of bioinformatics and data analysis Perform scientifically rigorous data management and bioinformatic analyses Develop neural network models using modern machine
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degree (or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. A good knowledge and practical experience in molecular ecology, population genetics, and statistical and