12 linked-data-"https:"-"https:"-"https:" research jobs at Nature Careers in United Kingdom
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the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Our aim is to trace
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page) your CV a description of how your specific experience and skills align with the essential criteria (maximum two pages) the title and the PubMed link of one scientific paper (not from our group
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . The Role We are seeking a highly
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linking molecules, mechanisms and medicine, our discoveries in fundamental biology inform the understanding of human disease and drive therapeutic advances. We are therefore seeking enthusiastic scientists
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the neural mechanisms underlying goal switching and behavioural strategy selection, linking algorithmic theories of behaviour to defined microcircuits and pathways. The position will employ a multidisciplinary
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve
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enzyme assays A strong understanding of high-throughput and automated/semi-automated workflows in laboratory techniques relevant to the post Excellent skills in experimental design, data analysis
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relevant to the post Excellent skills in experimental design, data analysis, statistical evaluation, and visualisation To understand (or have a desire to understand) the path to impact for the research area