Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
-
cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity. This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis
-
Lab, Montreal Neurological Institute (The Neuro), McGill University https://www.couturierlab.com About the Project The Couturier Lab is seeking an enthusiastic and driven Postdoctoral Fellow to
-
, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
-
image analysis to extract cellular morphology and spatial features. Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology. Develop and apply
-
-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence
-
, the Department supports interdisciplinary programs in Urban Studies, International Studies, and Global Health Studies. It is dedicated to tackling urgent global socioenvironmental issues through spatial analysis
-
metadata documentation Manage geospatial datasets and version control systems (e.g. ArcGIS Online, Git, or QGIS project files). Spatial Analysis and Modelling Use GIS software (e.g. ArcGIS, QGIS) and/or
-
, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA