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Field
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environmental management or policy. Experience with spatial and spatiotemporal statistical models Experience with diet analyses and/or predator–prey modelling. Experience with trophic ecology methods such as
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on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
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environmental management or policy. Experience with spatial and spatiotemporal statistical models Experience with diet analyses and/or predator–prey modelling. Experience with trophic ecology methods such as
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ We are seeking to recruit a highly motivated Post-Doc Researcher (PDR
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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learning [3,4]. Indeed, the sensors can be represented as a graph, where each node corresponds to a sensor and the edges represent the relationships between the sensors. These relationships can be spatial
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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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, as well as doctoral students, post-doctoral fellows, interns and/or volunteers. More details on https://tourduvalat.org/en/ Background and objectives Climate change is a major pressure on ecosystems