Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- Sweden
- United Arab Emirates
- France
- Switzerland
- Denmark
- Belgium
- Brazil
- Ireland
- Spain
- Finland
- Morocco
- Australia
- Canada
- Poland
- Austria
- China
- Mexico
- Singapore
- Hong Kong
- Italy
- Japan
- Norway
- Portugal
- Saudi Arabia
- Czech
- Luxembourg
- Afghanistan
- Europe
- India
- Israel
- Latvia
- New Zealand
- 26 more »
- « less
-
Employer
- University of Miami
- Duke University
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- University of Oxford
- Oak Ridge National Laboratory
- University of South Carolina
- Cornell University
- University of North Carolina at Chapel Hill
- Pennsylvania State University
- Rutgers University
- National Energy Technology Laboratory (NETL)
- Argonne
- Princeton University
- Texas A&M University
- Yale University
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- New York University
- Technical University of Munich
- University of Texas at Arlington
- University of Washington
- EPFL
- Harvard University
- Northeastern University
- The Ohio State University
- U.S. Department of Energy (DOE)
- University of Florida
- Virginia Tech
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Loyola University
- Texas A&M AgriLife
- University of Minnesota
- Massachusetts Institute of Technology
- National Aeronautics and Space Administration (NASA)
- CNRS
- University of Oxford;
- Utrecht University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Kentucky
- Aalborg University
- Bowdoin College
- Chalmers University of Technology
- Eindhoven University of Technology (TU/e)
- SciLifeLab
- Stony Brook University
- University College Cork
- Aarhus University
- Durham University
- KTH Royal Institute of Technology
- SUNY University at Buffalo
- Umeå University
- University of Central Florida
- University of Luxembourg
- University of North Texas at Dallas
- Empa
- King's College London
- Leiden University
- University of California Irvine
- University of Manchester
- University of Nevada, Reno
- University of Sydney
- University of Twente (UT)
- Zintellect
- AALTO UNIVERSITY
- Brookhaven National Laboratory
- Forschungszentrum Jülich
- Helmholtz Association of German Research Centres
- Human Technopole
- Inria, the French national research institute for the digital sciences
- McGill University
- Queen Mary University of London
- THE UNIVERSITY OF HONG KONG
- The University of Arizona
- The University of Iowa
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of Arkansas
- University of California
- University of California, Los Angeles
- University of Idaho
- University of Southern California
- Boise State University
- ICN2
- Institut Pasteur
- Iowa State University
- Kennesaw State University
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Michigan State University
- Purdue University
- Queen Mary University of London;
- RIKEN
- Saint Louis University
- UNIVERSITY OF HELSINKI
- University of Basel
- University of Connecticut
- University of Groningen
- University of Liverpool
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Materials Science
- Humanities
- Earth Sciences
- Electrical Engineering
- Environment
- Education
- Psychology
- Arts and Literature
- Business
- Law
- Sports and Recreation
- Linguistics
- Philosophy
- Physics
- Social Sciences
- 13 more »
- « less
-
learning and deep learning. Specific Requirements PhD in acoustics. Knowledge of acoustical measurement techniques, as well as physical acoustics. Some experience in acoustic signal processing and machine
-
). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
-
developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
-
include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
-
pursue the use of machine learning techniques for data analysis. Candidates must have a Ph.D. and research experience in experimental high energy physics. The successful candidate is expected to carry out
-
or machine learning is highly desirable Prior experience with liquid biopsy work is welcome but not required Proven ability to think creatively, work collaboratively, and communicate effectively Fluency in
-
) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing spontaneous versus precipitated withdrawal episodes. The spontaneous vs
-
at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
-
computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
-
National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 19 hours ago
or machine learning applied to plant traits. Candidates with strong quantitative skills, interest in interdisciplinary collaboration, and motivation to explore crop performance in novel environments may find