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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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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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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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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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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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. https://eurosoho.eu/ FUTURA coordinates European modelling and infrastructure efforts to jointly develop and deploy a sustainable, aligned system for delivering future emissions scenarios, and climate and
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Deadline: Applications accepted all year round Details We welcome applications from motivated PhD students interested in population ecology, demographic modelling and biodiversity science. Our
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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor