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field of study or possession of equivalent experience. Additional Information: We invite applications from accomplished physician-scientists or PhD scientists with expertise in spatial pathology and cancer
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an open-source programming language, including spatial data processing, quality checks and visualizations. Supporting the principal investigator in supervising PhD students. Collaborating with other
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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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must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 24 days ago
, Regional and Local Planning, or related fields; Experience working with Geographic Information Systems (GIS); Knowledge of databases and data systems; Experience in quantitative and spatial analysis methods
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the vulnerability and adaptive capacity of pilot cities (WP3 – Health, risks and vulnerability): developing risk indices for outdoor activities and assessing, at different temporal and spatial scales
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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contribute to these objectives through a mixed-methods approach combining advanced epidemiological methods and causal inference, spatial analysis and remote sensing applications, and qualitative research
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thesis and/or a published article or research report; familiarity with causal inference and quantitative research skills. GIS skills, experience with spatial weighting and/or social network analysis would
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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