Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stony Brook University
- Princeton University
- Duke University
- Baylor College of Medicine
- CNRS
- Purdue University
- Stanford University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Texas at Austin
- Aarhus University
- Cornell University
- Institute of Dendrology, Polish Academy of Sciences
- Technical University of Munich
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Oxford
- University of Southern California
- University of Southern California (USC)
- University of Washington
- Utrecht University
- Yale University
- ;
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Carnegie Mellon University
- Columbia University
- Florida Gulf Coast University
- Florida International University
- Harvard University
- Institut Pasteur
- KINGS COLLEGE LONDON
- Leibniz
- McGill University
- Medical College of Wisconsin
- Nantes Université
- National Aeronautics and Space Administration (NASA)
- Northumbria University;
- Pennsylvania State University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- TTI
- Texas A&M AgriLife
- Texas A&M University System
- The Ohio State University
- The University of Memphis
- UNIVERSITE ANGERS
- University of Antwerp
- University of California
- University of California, Los Angeles
- University of Cambridge;
- University of Colorado
- University of Florida
- University of Idaho
- University of Maine
- University of Miami
- University of Minnesota
- University of Oxford;
- University of South Carolina
- University of Utah
- 52 more »
- « less
-
Field
-
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
-
for collecting data on environmental and health parameters (air quality, noise, mobility). GIS Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban
-
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
-
LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
-
candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on memory consolidation, spatial navigation, and neural
-
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
-
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
-
or closely related sciences*; Knowledge about spatial modeling, remote sensing, and geographic information systems; Knowledge and expertise in spatial modeling using satellite or airborne images and airborne
-
Pareto hypothesis using ~20 existing datasets covering a range of taxonomic groups (plants, microorganisms, animals), ecosystem processes (including multifunctionality), and spatial scales (local
-
LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated