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Field
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of the stock structure of many fish populations in the Baltic Sea is limited. For numerous species, we lack detailed knowledge about changes and spatial variation in migration patterns, reproduction, size and
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to 1) compile a global database of existing information about physiological responses of cattle and other livestock to humid heat and 2) to use these data, coupled with spatially explicit forecasts
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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diversity and dynamics of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models
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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data
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-cell (RNA+ATAC-seq), and spatial transcriptomics (RNA-seq) profiles of hematopoietic and non-hematopoietic progenitor cells in the bone marrow. We aim to characterize all cell types (see: https://doi.org
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the three-dimensional distribution of the phases and their structural parameters. You will optimize the spatial resolution at which the 5D ED data can be obtained. You will also help other researchers
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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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required Experience analyzing wearable device data including accelerometer and GPS data, as well as experience with spatial data analysis Demonstrated publication record in high quality peer-reviewed