47 parallel-processing-bioinformatics Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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by Professor Tim Tree, at King's College London. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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of human infections. Our research bridges our strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich
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mechanisms, diagnosis and treatment of human infections. Our research bridges our strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and
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inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a recently completed Phase II clinical trial for amyotrophic lateral sclerosis (ALS
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, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology, sexually transmitted diseases and clinical trials. A major thread running through our
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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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publications Presentation skills Experience working with mouse models Knowledge of bioinformatics Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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aim to uncover the evolutionary processes contributing to the emergence and transmission of VOCs. Gaining insight into these mechanisms is crucial for informing the development of both improved and