10 computational-biology Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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. The Atherton group is based in Randall Centre for Cell & Molecular Biophysics, home to a diverse array of structural and cellular biology research, which is part of the School of Basic & Biomedical Sciences
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located at Guy’s campus. Researchers have access to support facilities in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC) and CDN
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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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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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to laboratory management. The project involves extensive molecular biology, tissue culture and genomics, hence experience in these areas is highly desirable. Knowledge of immunology, gene regulation and flow
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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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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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are looking for candidates to have the following skills and experience Essential criteria PhD qualified in relevant subject area for the research programme (e.g. Cell Biology, Cell Signalling, gene editing
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), their interaction, and opportunities for intervention in causal pathways. Interventions allow the shift from describing ‘associations’ between the biology and clinical outcome to discussing ‘cause and effect’, with