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error propagation techniques. You have experience in spatial-temporal statistics, kriging methods, and handling autocorrelation. You are interested in environmental biomass and soil mapping and modelling
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at the Department of Statistics, Purdue University, under the supervision of Dr. Anindya Bhadra. The postdoctoral fellow will be mentored by Dr. Anindya Bhadra and will have an opportunity to choose from exciting
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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., geography, urban planning, data science, sociology, public health, emergency management). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific
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advanced spatial statistics in R and QGIS is required. The ability to work both independently and collaboratively in a team environment is essential. Pay and Benefits Pay Range: $62,000 - $65,000; depending
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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they would design, organize, and conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and