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factors should commonly interact to drive plant fitness and potential shifts in specific range positions (e.g., margins or center) under a changing climate, yet correlative-based SDMs lack a formal method
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delivery research, clinical practice change and mixed-method implementation science. This role provides advanced research training to support development of an independent research career. The fellow
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of haematopoietic cells are influenced by different microenvironments. To achieve that, we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
our team to advance this area and work on developing the tools and applying them to research projects covering different topics and species depending on the candidate’s interests and previous experience
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
Recuperação e Resiliência, through IAPMEI – Agência para a Competitividade e Inovação Work Plan: Thermophysical and Mechanical Characterization of Chitosan from Different Sources This study aims
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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observations (including remote sensing) or model outputs. Establish approaches to quantify uncertainty in model outputs using different methods. Run scenario analyses to identify management practices with
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observations (including remote sensing) or model outputs. Establish approaches to quantify uncertainty in model outputs using different methods. Run scenario analyses to identify management practices with