Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of Oxford
- Baylor College of Medicine
- Argonne
- Northeastern University
- Technical University of Munich
- CNRS
- Stanford University
- Cornell University
- EPFL
- Yale University
- AALTO UNIVERSITY
- Broad Institute of MIT and Harvard
- Carnegie Mellon University
- Duke University
- George Washington University
- King's College London
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- University of Sydney
- University of Washington
- Vrije Universiteit Brussel
- DURHAM UNIVERSITY
- European University Institute
- KU LEUVEN
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- SUNY University at Buffalo
- South Dakota Mines
- Stony Brook University
- Texas A&M AgriLife
- Texas A&m Engineering
- UNIVERSITY OF SYDNEY
- University of California Irvine
- University of New Hampshire
- University of Oxford;
- University of Texas at Dallas
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Boston University
- Brookhaven National Laboratory
- Computer Vision Center
- DI ENS
- Deutsches Elektronen-Synchrotron DESY
- Durham University
- ETH Zürich
- Forschungszentrum Jülich
- Great Bay University
- Harvard University
- Heriot Watt University
- Högskolan i Skövde
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- International Iberian Nanotechnology Laboratory (INL)
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Lehigh University
- Ludwig-Maximilians-Universität München
- Luleå University of Technology
- Poznan University of Physical Education, POLAND
- Queen Mary University of London
- Queen Mary University of London;
- Rochester Institute of Technology
- SISSA
- Sandia National Laboratories
- SciLifeLab
- The Hebrew University of Jerusalem
- The University of Arizona
- The University of Edinburgh;
- The University of Iowa
- Tufts University
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- Umeå universitet stipendiemodul
- Universite de Sherbrooke
- Universiteit Leiden
- University of Amsterdam (UvA)
- University of Arkansas
- University of Calgary
- University of California
- University of Dundee;
- University of Florida
- University of Graz
- University of Illinois at Chicago
- University of Liverpool
- University of London
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Pittsburgh
- University of Twente (UT)
- University of Virginia
- Université Bourgogne Franche-Comté
- Villanova University
- Virginia Tech
- Vrije Universiteit Brussel (VUB)
- Washington State University
- 89 more »
- « less
-
Field
-
to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum systems. As a member of the
-
biology. CBQB is committed to lead major discoveries in disease mechanisms, novel diagnostics and therapeutics, as well as development of devices and algorithms that will improve health, with lasting impact
-
. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
-
· database extraction · data cleaning · analysis · algorithm development and implementation · data visualization [CI1] The postdoctoral
-
the team with compiling and analyzing geospatial datasets, developing and testing deep learning algorithms for complex image classification, optimizing data collection strategies for unmanned aerial vehicle
-
complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms will be tested and
-
work is robustly extending genomic discoveries into under-represented populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation