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Field
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-supervised by a bioinformatics-focused and a biology-focused PI. A Master’s degree or equivalent in natural or computer sciences with excellent marksand a very strong experience in single-cell sequencing
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metatranscriptomics. We are looking for a dynamic and motivated PhD student to conduct innovative scientific research in the field of microbial ecology and applied bioinformatics. The use of various -omics tools means
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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be commensurate with experience and education. Qualifications Minimum Qualifications: PhD or MD degree with a track record of Bioinformatic Research Must be eligible to work in the US Preferred
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for diagnostics and therapy Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages) Collaborate
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. Background and objectives The Tangney lab is currently seeking PhD students with an interest in wetlab and /or drylab (bioinformatics, sequence data analytics, protein design). This project is part of
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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bioinformatic methods to cross-compare insights from your simulations with real-world data. Additionally, the position will provide opportunities to pick up on additional skills such as teaching and science
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. Postdoctoral Associate - Bioinformatics Critical Illness and Host-response Be You. The Department of Surgery at Duke University Medical Center requires a Postdoctoral Fellow to investigate bioinformatics within
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for gastrointestinal (GI) infections. Current PCR methods are limited by detecting only pre-specified targets. Leveraging shotgun metagenomics and advanced bioinformatics, this project will establish the evidence base