Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 13 hours ago
Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
-
Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
-
is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
-
defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
. The doctoral student will work on the design and implementation of interactive web-based and/or immersive analytics environments that integrate temporal networks, heterogeneous spatial-temporal data, and AI
-
experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
-
on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
-
related field. You bring a strong analytical background and experience with optimization models and quantitative analysis methods. Familiarity with urban energy systems, energy infrastructures, or spatial
-
or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience