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. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and
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projects in Dr. Liping Yang’s group (https://medicine.osu.edu/find-faculty/non-clinical/molecular-medicine-and-therapeutics/liping-yang ) at the Comprehensive Cancer Center at the Ohio State University
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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, conducting spatial analysis, and producing high-quality cartographic products, including storymaps. Using ESRI’s ArcGIS software and associated apps, students will learn to identify and assess the spatial
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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial
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analysis experience: one sample of your work demonstrating your ability to analyze spatial or temporal data using Remote Sensing and GIS tools (e.g., thesis section, coursework, project report, or technical
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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Generation Programme-Spain’s Recovery, Transformation and Resilience Plan 1. First project in which the successful applicant will collaborate: 1.1. Name of the project: “Impact of the spatial-temporal
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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, industry and the wider community. What we’re looking for: A PhD in geostatistics, spatial statistics, or commensurate discipline. Demonstrated ability to undertake research in spatial data analysis