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Field
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resistance. Our laboratory employs cellular and molecular biology techniques, proteomics, and bioinformatics techniques. Our laboratory has state-of-the-art BSL-2 facilities, which are fully equipped to carry
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the application of bioinformatics tools. More broadly, the successful candidate will benefit from, and contribute to, the interdisciplinary research culture and extensive academic networks at King’s College London
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asset: microbiology of anaerobes and phages, assay development, functional genomics, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry
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global scale. This means that as a postdoctoral fellow you will have access to cutting-edge multi-omics techniques and, increasingly, to computational tools and bioinformatics pipelines that are highly
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bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs. Where
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience with large-scale
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Statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in second-generation sequencing
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, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in second-generation sequencing analyses (RNA
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required for this position. More About This Job Required Qualifications: The successful applicant will hold, or shortly expect to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python