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sequencing (snRNA-seq) and spatial transcriptomics experiments on post-mortem human brain tissue and animal models. Sample processing. Bioinformatic analysis of the data generated in R and/or Python
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Responsibilities Quantitative method development and computational modeling (45%) -Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air-pollutant
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Full-Time Fixed-Term for 36 months This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales
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Mapping of Actors, Linkages, and Interdependencies (Field work) - Spatial Analysis and Scenario Modeling of Governance Innovations - Analyzing Vulnerabilities, Asymmetries, and Externalities
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spatial statistics, GIS and linear modelling to conduct desk-based analyses. In the field, the successful student will be trained in census methods, plant identification and experimental design. Training
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Genomics and Therapeutics Division (PI Dr. Simona Migliozzi, PhD) The GarMiglio Lab (https://garmigliolab.com/) led by Dr. Luciano Garofano (Assistant Professor) and Dr. Simona Migliozzi (Assistant Professor
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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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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 15 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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This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales. Motivation: Understanding how
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This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales. Motivation: Understanding how