Sort by
Refine Your Search
-
Listed
-
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
- Purdue University
- Technical University of Munich
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Oxford
- University of Texas at Austin
- University of Washington
- Utrecht University
- Yale University
- ;
- Aarhus University
- Argonne
- CNRS
- 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
- Pennsylvania State University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- TTI
- Texas A&M University System
- The Ohio State University
- The University of Memphis
- UNIVERSITY OF HELSINKI
- University of Antwerp
- University of California
- University of California, Los Angeles
- University of Cambridge;
- University of Colorado
- University of Idaho
- University of Maine
- University of Miami
- University of Minnesota
- University of Oxford;
- University of Saskatchewan
- University of South Carolina
- University of Southern California
- University of Southern California (USC)
- University of Utah
- 46 more »
- « less
-
Field
-
to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
-
temperature. The successful applicant will Analyze imagery from NASA ECOSTRESS instrument on International Space Station for retrieval of surface infrared radiances and sea surface temperature at 70 m spatial
-
to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
-
conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and analyses for mainstream
-
. Successful applicants will work together as part of an international team of experts at four sites to apply cutting-edge approaches in high-resolution, single-molecule imaging; single-cell Ribo-seq and spatial
-
-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes
-
perform the following duties: * Perform experiments relating to the role of metabolism, inflammation and epigenetic regulation in driving retinal degeneration. These include experiments such as spatial
-
PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
-
disorders. The successful candidate will apply cutting-edge techniques in spatial and single-cell transcriptomics to study the effects of gene knockouts across multiple scales, contributing to a comprehensive
-
have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques