23 linked-data "https:" "https:" "https:" "https:" Postdoctoral positions at King's College London
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require rigorous experimental design, appropriate controls and benchmarks, statistical analysis, traceable data and predefined acceptance criteria. The role carries substantial intellectual ownership and is
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capture additional predictive power. If the role holder desires, there may also be scope to relate brain imaging to speech and language data. About You To be successful in this role, we are looking for
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epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from
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mobilities (PATH) is seeking a transdisciplinary researcher to support with synthesis and dissemination of data collected from across four case study locations worldwide. The researcher will work closely
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Experience in Biological NMR and Structural Biology demonstrated by good research track record Familiarity with SAXS methods and data analysis Relevant experience with data collection, processing and data
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to be performed on site for 80% of the time, but there will be opportunities to work remotely for 20% of the time, when processing data or preparing manuscripts and presentations. About You To be
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of the set-up and recruitment of patient cohorts, clinical and biological data collection, and the collection, processing and storage of human biological samples. The post-holder will lead cellular
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contributing to papers, abstracts, funding applications and/or reports Desirable criteria Post-doctoral or equivalent industry experience in immunology Experience in analysing high-dimensional and spatial data
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applications and/or reports Desirable criteria Post-doctoral or equivalent industry experience in immunology Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC
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, and entrepreneurship. The role is designed to strengthen research capacity in empirical, data-driven analysis with a particular focus on generating robust evidence that challenges prevailing