45 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "UCL" positions at King's College London
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
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of these programmes. The successful candidate will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research/groups ). Research
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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coding capacity to the expression of innate immune antagonists, as powerful tools for discovery. About the role We are seeking a highly motivated candidate with a degree in a relevant subject (e.g. Biology
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, including large-scale, anonymised or pseudonymised datasets Understanding of NHS data structures, clinical coding (ICD-10, SNOMED CT) and/or electronic health records Understanding of research data governance
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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. Revitalise’s software is already using industry standards including a maintained code repository, unit tests, and continuous integration. The successful candidate will undertake training to understand
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of relevant regulations, codes of practice and local guidance/protocols. Undertake Evacuation Marshal and First-Aid duties. Professional Maintain accurate and organised electronic records in
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, neurodegenerative diseases and ALS Strong programming skills in R, python or other coding languages Practical experience with a high-performance computing and Unix/Linux environments Practical experience in a broad