138 parallel-processing-bioinformatics-"https:" research jobs at KINGS COLLEGE LONDON
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant
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teaching, research and clinical practice is embedded across five Departments. More information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong
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group, an innovative research team at the intersection of systems medicine, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and
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bioinformatic pipelines to analyse these data sets, as well as possibly modify or develop their own approaches to reliably and accurately analyse these data. This is a 12 month full time on campus position (Guys
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neuroplasticity, interdisciplinary neuro-immune research, high-throughput sequencing technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical
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of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive
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, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and modeling metabolic and inflammatory processes that drive liver disease progression. We
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical cell and in vivo models, alongside human cellular models, which provide