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Field
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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analyses of public and confidential datasets relevant to the funded projects. Responsibilities include applying causal inference, spatial econometric, and multilevel modeling techniques to examine the
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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the time the employment decision is made. a strong background in computational decision support systems for urban planning programming skills, spatial modeling, carbon accounting, and spatial data analysis a
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with growers and industry clientele. FAA Part 107 certification or experience with UASs. Knowledge and experience in data science including spatial and temporal analysis of imagery data, GIS, or machine
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-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor microenvironment. The post holder will develop experimental work flows
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts