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sequencing and comprehensive bioinformatics data processing and visualisation. The postholder will be an experienced technician with working knowledge of spatial transcriptomics. The postholder will act as a
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in mass spectroscopy, expertise in the use of bioinformatics tools (such as Geneious, R, Pipebio, or development of new computational pipelines for data analysis) and experience of aseptic technique
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Apply Now Job Summary Dr. Con Ma?s lab in The Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is seeking a postdoctoral research fellow to
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to join its team. The ideal candidate will have experience in bioinformatics, whole-genome sequencing data analysis and predictive modelling. The role offers the opportunity to work in a dynamic
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human samples for flow cytometry, mouse handling, manipulation of the murine gut microbiota, microbiology, data analysis and interpretation, microbiota bioinformatic analyses, working collaboratively with
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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] Subject Areas: Statistics and Data Science(including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) Appl Deadline: none (posted 2024/12/03) Position
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Annotation Scientist will perform genomic variant annotation and bioinformatics analysis for clinical testing. Primary responsibilities will include the development and use of bioinformatics pipelines
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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic