Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- New York University
- NEW YORK UNIVERSITY ABU DHABI
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oxford
- Technical University of Denmark
- Stanford University
- Loyola University
- Princeton University
- ;
- AALTO UNIVERSITY
- Cornell University
- KINGS COLLEGE LONDON
- The Ohio State University
- University of Kentucky
- University of North Carolina at Chapel Hill
- Duke University
- Medical College of Wisconsin
- Yale University
- Argonne
- Brookhaven Lab
- Technical University of Munich
- Texas A&M University
- Virginia Tech
- Stony Brook University
- University of Washington
- Oak Ridge National Laboratory
- Rutgers University
- University of Lund
- University of Southern Denmark
- Aarhus University
- Bowdoin College
- Carnegie Mellon University
- Northeastern University
- SUNY University at Buffalo
- The University of Arizona
- UNIVERSITY OF VIENNA
- University of Florida
- University of Luxembourg
- University of Minnesota
- University of Oslo
- University of South Carolina
- Heriot Watt University
- Leibniz
- University of Maine
- University of Sydney
- University of Texas at Arlington
- University of Tübingen
- Villanova University
- Baylor College of Medicine
- CNRS
- CWI
- Chalmers University of Technology
- Empa
- European Space Agency
- Georgia Southern University
- Institut Pasteur
- King's College London
- Max Planck Institute (MPI) for Psycholinguistics
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of Antwerp
- University of Bergen
- University of Colorado
- University of Maryland
- University of Twente (UT)
- University of Virginia
- Utrecht University
- VIB
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Brookhaven National Laboratory
- Cold Spring Harbor Laboratory
- Durham University
- Emory University
- Forschungszentrum Jülich
- Free University of Berlin
- Heidelberg University
- Illinois Institute of Technology
- Imperial College London
- Inria, the French national research institute for the digital sciences
- King Abdullah University of Science and Technology
- Linköping University
- Los Alamos National Laboratory
- Massachusetts Institute of Technology
- McGill University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- Purdue University
- Ryerson University
- University College Cork
- University of British Columbia
- University of California Berkeley
- University of California, Merced
- University of Cambridge
- University of Central Florida
- University of Connecticut
- University of Groningen
- 90 more »
- « less
-
Field
-
] Subject Areas: Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering / Machine Learning Artificial Intelligence, Machine Learning and Autonomy
-
Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
-
). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
-
on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
-
. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
-
reinforcement learning and machine vision. Experience with ROS and the ROS ecosystem Special Requirements: Applicants cannot have received their PhD more than five years prior to the date of application and must
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
-
technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other