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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 23 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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repair. Our research integrates single-cell and spatial multi-omics, human developmental tissue, stem cell and organoid models, perturbation approaches, and in vivo models to uncover mechanisms controlling
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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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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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of molecular, spatial, histopathological, and clinical data. Computational and statistical analyses will be performed primarily using R. The research is carried out in a multidisciplinary environment and in
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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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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phenology studies at broad spatial scales (e.g. kilometers), the aim of this postdoc is to explore patterns at the level of individual fields, forests or grasslands in a fragmented landscape. By analysing
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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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