Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- France
- United Arab Emirates
- Denmark
- Sweden
- Morocco
- Australia
- Belgium
- Canada
- Luxembourg
- Finland
- Spain
- Switzerland
- Japan
- Norway
- Ireland
- Poland
- Italy
- Saudi Arabia
- China
- Hong Kong
- Brazil
- Austria
- Taiwan
- Cyprus
- Europe
- Czech
- Iceland
- Israel
- Mexico
- Portugal
- 24 more »
- « less
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- Princeton University
- Rutgers University
- University of South Carolina
- Stanford University
- Oak Ridge National Laboratory
- Duke University
- University of Oxford
- University of Kentucky
- University of North Carolina at Chapel Hill
- CNRS
- Texas A&M University
- University of Miami
- Carnegie Mellon University
- Cornell University
- University of Washington
- Northeastern University
- Technical University of Denmark
- The Ohio State University
- Stony Brook University
- Argonne
- Technical University of Munich
- AALTO UNIVERSITY
- Loyola University
- KINGS COLLEGE LONDON
- U.S. Department of Energy (DOE)
- University of Luxembourg
- University of Texas at Arlington
- ;
- Baylor College of Medicine
- University of Florida
- University of Maine
- Yale University
- Delft University of Technology (TU Delft)
- Medical College of Wisconsin
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Texas A&M AgriLife
- The University of Arizona
- UNIVERSITY OF VIENNA
- University of California
- Virginia Tech
- Aarhus University
- Brookhaven Lab
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- SUNY University at Buffalo
- UNIVERSITY OF SYDNEY
- University of Bergen
- University of Houston Central Campus
- University of Minnesota
- University of Nevada, Reno
- University of Southern Denmark
- University of Sydney
- University of Twente
- Bowdoin College
- ETH Zürich
- Emory University
- Georgia Southern University
- Inria, the French national research institute for the digital sciences
- Kennesaw State University
- Leibniz
- McGill University
- Purdue University
- RIKEN
- University of Maryland
- University of Virginia
- Villanova University
- Baylor University
- Boston University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Free University of Berlin
- Heidelberg University
- Heriot Watt University
- Radboud University
- Saint Louis University
- THE UNIVERSITY OF HONG KONG
- University of Central Florida
- University of Idaho
- University of North Carolina Wilmington
- University of North Texas at Dallas
- University of Texas at Dallas
- University of Turku
- University of Twente (UT)
- Aalborg University
- Bucknell University
- Durham University
- Empa
- Illinois Institute of Technology
- Institut Pasteur
- King's College London
- Linköping University
- Max Planck Institute (MPI) for Psycholinguistics
- 90 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 24 days ago
, machine learning and statistical methods to elevate impacts research. There is also opportunity to work at the nexus of water and agriculture, as well as in risk management for suburban landscapes. Location
-
machine learning approaches where applicable. Provides feedback and guidance to wet-lab scientists on experimental design. Summarizes research findings and publish results in research journals. Assist with
-
ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image
-
therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine learning and
-
mission utilizing the expertise, resources, and capabilities available at your hosting facility. You will acquire experience and training in areas related to fusion energy and plasma science and technology
-
, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where applicable. Provides feedback and
-
-scale epidemiological datasets using statistical and machine learning methods Conduct systematic literature reviews and meta-analyses on disease dynamics topics Develop and validate predictive models
-
., or equivalent is required. Applicants should have training and a significant track record in one of the following areas: -computational biology-computer science-electrical or computer engineering-genomics
-
data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
-
the opportunity to: Acquire cutting-edge techniques for studying protein dynamics during ageing Explore fundamental biochemical mechanisms underlying the protein quality control of mitochondrially