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                within King’s Health Partners and external clients. There will also be a strong focus in this role on the development of protocols for next-generation sequencing of respiratory virus genomes using Oxford 
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                to lead on research communications and engagement across multiple new and existing studies. You will lead the development and delivery of external communications across the Department of Twin Research 
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                flow cytometry, RNA-sequencing analysis by next generation sequencing, single cell approaches and nanopore sequencing. It requires consistency and attention to detail, as well as a willingness for 
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                neurons. The Research Assistant will contribute to running functional cellular assays, as well as molecular biology laboratory work, including flow cytometry, RNA-sequencing analysis by next generation 
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                project activities across multiple workstreams, liaising with internal and external stakeholders to ensure alignment and communication, and contributing to the development of project documentation 
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                microscopy, subcellular localisation and FRET analyses Experience in bioinformatic analysis of sequencing and proteomics data Ability to work independently and as part of a team Evidence of publications in RNA 
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                sequences for automated radiosynthesis. Experience in the radiolabelling of radiopharmaceuticals with iodine-131/124/123. Development of radiolabelling procedures for zirconium-89 and/or lutetium-177 
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                with attention to detail Desirable criteria: Experience in training and mentoring research personnel Experience with advanced imaging techniques Experience with single-cell RNA sequencing, including 
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                cohort of students (both internal and external), our programme administration and teaching teams by ensuring that digital education systems are accurate, accessible and aligned with institutional standards 
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                Experience with single-cell RNA sequencing, including sample preparation Experience with bioinformatics tools for the analysis of single-cell RNA sequencing datasets Experience carrying out multi-electrode