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in situ measurement techniques. Strong quantitative skills, including ecological modelling, spatial analysis, and interpretation of biological datasets. Demonstrated leadership of abalone field
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genomic techniques including RNA and DNA extraction, nuclei isolation, single cell technology, spatial transcriptomics and ATAC-seq and ChIP-seq. In addition, the candidate will have some lab managerial
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science, machine learning and artificial intelligence, spatial statistics and environmental statistics, and statistical genetics and genomics. For more information, see http://www.stat.purdue.edu/ . Job
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extraction, land use change) at a diversity of spatial scales, from local to watershed and beyond. The team’s research addresses both natural and anthropogenic disturbances and their impacts on lands, water
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variables. 3. Integrating data: jointly processing data from different scales (spatial, temporal or related to the experimental context) by matching similar individuals and variables, while taking
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preclinical models. Applying advanced molecular and cellular techniques, such as bulk and single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, immunoprecipitation, RNA-pull down, ChIP-seq
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that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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of these genes to the osteoarthritis phenotype. Analyses include CRISPR/Cas9 genome editing in mouse, scRNA-seq, spatial profiling, WES/WGS, and tissue culture. The candidate should be prepared to analyze gene
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of these genes to the osteoarthritis phenotype. Analyses include CRISPR/Cas9 genome editing in mouse, scRNA-seq, spatial profiling, WES/WGS, and tissue culture. The candidate should be prepared to analyze gene