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Field
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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, and/or genomic medicine. In particular, we seek applicants with expertise in techniques such as single-cell and spatial transcriptomics, genome-wide DNA methylation analysis, CRISPR/Cas-mediated genome
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and seminars. Tasks and responsibilities: Carrying out experimental work at Lammi research station (Finland) Design and improve experimental protocols Data analysis Manuscript writing Mentoring BSc/MSc
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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develop and implement mosquito behavior assays in malaria-endemic settings to investigate how vector control interventions, such as spatial repellents, influence mosquito behavior. You will study host
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terms of technologies, infrastructures, (geo)spatial distribution, scale and related investment needs matters for how and which stakeholders are affected, who gains or loses power, and how benefits and
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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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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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research. Work will include analysis of spatial and related data (vector, raster, imagery) sufficient to support multi-scale and/or multi-resource planning, assessments, and monitoring. Knowledge of data and
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the start of the appointment and no more than four total years of postdoctoral experience. Proficiency in spatial analysis, with working knowledge of GIS concepts and tools (e.g., spatial data structures