Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Stanford University
- Stony Brook University
- Princeton University
- Duke University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- The University of Arizona
- Baylor College of Medicine
- Cornell University
- Pennsylvania State University
- Purdue University
- Technical University of Munich
- University of Antwerp
- University of Oslo
- University of Texas at Austin
- University of Washington
- Utrecht University
- Yale University
- ;
- Aarhus University
- Argonne
- Carnegie Mellon University
- Chalmers University of Technology
- Columbia University
- Florida Gulf Coast University
- Florida International University
- Harvard University
- Institut Pasteur
- KINGS COLLEGE LONDON
- Leibniz
- McGill University
- Medical College of Wisconsin
- TTI
- Texas A&M University System
- The Ohio State University
- The University of Memphis
- UNIVERSITY OF HELSINKI
- 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 North Carolina at Chapel Hill
- University of Oxford
- University of Oxford;
- University of Saskatchewan
- University of South Carolina
- University of Southern California
- University of Southern California (USC)
- University of Utah
- 44 more »
- « less
-
Field
-
responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
-
We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
-
-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the
-
further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
-
at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial domains such as the Colorado Plateau and even global. Presenting
-
, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
-
applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
-
development. Key Responsibilities: - Develop and implement spatial analyses of environmental exposures - Create and validate neighborhood typologies - Analyze associations between environmental factors and
-
intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
-
of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine