Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Denmark
- Germany
- Sweden
- Netherlands
- United Arab Emirates
- Belgium
- France
- Norway
- Switzerland
- Canada
- Morocco
- Luxembourg
- China
- Finland
- Australia
- Hong Kong
- Ireland
- Saudi Arabia
- Singapore
- Benin
- Bulgaria
- Czech
- India
- Italy
- Japan
- Mexico
- Poland
- Qatar
- Spain
- Worldwide
- 22 more »
- « less
-
Employer
- Nature Careers
- Stanford University
- Cornell University
- Technical University of Denmark
- Technical University of Munich
- University of Oxford
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- University of North Carolina at Chapel Hill
- ;
- Argonne
- Brookhaven Lab
- National Renewable Energy Laboratory NREL
- New York University
- Stony Brook University
- Aarhus University
- Duke University
- Oak Ridge National Laboratory
- University of Groningen
- Yale University
- Loyola University
- Texas A&M University
- Bowdoin College
- Medical College of Wisconsin
- Rutgers University
- University of Cambridge
- University of Texas at Arlington
- Forschungszentrum Jülich
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Lund
- Carnegie Mellon University
- Chalmers University of Technology
- The Ohio State University
- University of Southern Denmark
- Virginia Tech
- Baylor College of Medicine
- ETH Zurich
- Georgia Southern University
- Northeastern University
- SUNY University at Buffalo
- UNIVERSITY OF VIENNA
- University of Colorado
- University of Kentucky
- University of Oslo
- Durham University
- European Space Agency
- Heriot Watt University
- SciLifeLab
- The University of Arizona
- University of Minnesota
- University of Nevada Las Vegas
- Heidelberg University
- Institut Pasteur
- KINGS COLLEGE LONDON
- McGill University
- Pennsylvania State University
- The University of Chicago
- The University of Iowa
- UNIVERSITY OF HELSINKI
- University of California Berkeley
- University of London
- University of Luxembourg
- University of Maryland
- University of Tübingen
- Utrecht University
- VIB
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Boston University
- Brookhaven National Laboratory
- CWI
- Cold Spring Harbor Laboratory
- Empa
- INSAIT - The Institute for Computer Science
- King Abdullah University of Science and Technology
- National University of Singapore
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- U.S. Department of Energy (DOE)
- Umeå University
- University College Cork
- University of Antwerp
- University of British Columbia
- University of Cincinnati
- University of Florida
- University of Glasgow
- University of Kansas
- University of Liverpool
- University of Miami
- University of Nebraska Medical Center
- University of North Texas at Dallas
- University of Oregon
- University of South Carolina
- University of Texas at Dallas
- University of Virginia
- University of Washington
- Villanova University
- Wageningen University and Research Center
- William and Mary
- 90 more »
- « less
-
Field
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
-
, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
-
Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
-
-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies such as VR/AR and Eye Tracking. Potential Project Ideas are: 1. Multimodal Machine Learning
-
statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
-
. Minimum Requirements: The position requires a PhD in biological sciences, chemistry, or a related discipline and a strong record of publications in peer-reviewed journals. Preferred Qualifications: Ideal
-
provides robust learning experiences related to the science and application of HEOR, including cost studies, data analytics, economic models, real-world evidence, services utilization analysis, systematic
-
small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
-
) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or