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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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Basic and Applied Spatial Analysis Lab (BASAL). The BASAL is located within the Department of Natural Resources and the Environment at the University of New Hampshire. This researcher will work directly
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of innovative methodologies for the analysis of synergistic multispectral satellite data and very high-resolution remote sensing imagery acquired from Unmanned Aerial Vehicles. The responsibilities include active
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen
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methylome sequencing, custom NGS panels, liquid biopsy, and spatial transcriptomics. The primary focus of this position is to help optimize and complete research tasks related to the computational analysis
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methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary
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the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological