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Field
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microbial bioinformatics techniques to achieve research aims associated with a project investigating the development of urinary tract infection in kidney transplant patients. About the person: We require a
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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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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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group but work closely with the Birmingham team and be formally employed by the University of Birmingham. Role Summary Provide bioinformatics support to the BRC OGS Theme Process and analyse ‘omics data