Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Sweden
- United Kingdom
- Germany
- Portugal
- Belgium
- Netherlands
- Czech
- Switzerland
- Norway
- Spain
- Poland
- Finland
- Canada
- Australia
- Italy
- Austria
- Denmark
- Hong Kong
- Luxembourg
- Singapore
- Estonia
- Morocco
- Brazil
- Japan
- United Arab Emirates
- India
- Ireland
- Slovenia
- Iceland
- Slovakia
- 22 more »
- « less
-
Program
-
Field
-
About the Opportunity Job Summary Conduct spatial analysis and statistical modeling to evaluate cannabis cultivation density patterns across tribal, private, and boundary lands. Develop refined
-
integrates quantitative and qualitative methodologies, encompassing panel and spatial econometric analysis, public policy evaluation, and comparative analysis of the specified regions. Particular emphasis is
-
performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples
-
and immune trafficking models. High-Resolution Imaging: Proficiency in spatially-resolved multiplexed imaging and confocal whole-mount tissue analysis. scRNA-seq: Experience designing 10x Genomics
-
Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
-
multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main
-
analysis results, including regression results, and spatial analysis, including visualizations and maps; ● Run power calculations for randomized controlled trials; ● Assist in reviewing, synthesizing, and
-
advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
-
Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With