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analysis in a setting with ample expertise and infrastructure. This is a rare opportunity to develop expertise in quantitative pathology in the burgeoning field of spatial cancer biology. Ours is a diverse
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choose to focus more strongly on either single-cell and perturbational data analysis or spatial data analysis, while also gaining exposure to the broader range of technologies. If you have a particular
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-omic spatial profiling platforms. Key equipment includes the Bruker/ NanoString GeoMx DSP, Bruker/NanoString CosMx SMI and the Lunaphore COMET system. The successful candidate will work closely with
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laboratory experience, such as: DNA/RNA extraction, PCR, cloning, virus production, ELISA, etc. Computational biology laboratory experience, such as: bulk- singl cell- or spatial-transcriptomic data analysis
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 days ago
quantitative and spatial analysis methods (advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst experience will be considered an asset
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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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computational pipelines for the analysis of high-dimensional genomic and spatial-omics datasets. The successful candidate will work closely with experimental scientists to analyze complex biological datasets
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nature, heat, air pollution and noise. You will develop and compare residential, mobility-based and trajectory-based measures of environmental exposure, combining spatial analysis with GPS trajectories
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critical role in advancing climate resilience for the Pacific Northwest and requires advanced analytical skills using spatial and quantitative analysis methods and mixed methods research approaches, as