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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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experience: Essential criteria PhD in Biological Sciences, Molecular Biology/Genetics, Microbiology, Immunology or related discipline. Research experience in fungal pathogenesis, especially Candida. Research
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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. The department provides a dynamic and interdisciplinary research environment, with the Cann group located within bespoke laboratories for interdisciplinary work at the biology-chemistry interface. The Role Carbon
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines
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interdisciplinary skills in biosciences and the physical sciences in an entirely new area of biology. The post is fixed term for 6 months and the successful candidate will be working with Prof Martin Cann (PI; Dept
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell