Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- University of Bergen
- Nanyang Technological University
- University of Washington
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stony Brook University
- University of North Carolina at Chapel Hill
- Academia Sinica
- CNRS
- Carnegie Mellon University
- DePaul University
- Harvard University
- Imperial College London
- Marquette University
- RIKEN
- Stanford University
- The University of Arizona
- The University of Chicago
- University of Sydney
- University of Texas at Arlington
- University of Utah
- ;
- AbbVie
- Aix-Marseille Université
- Argonne
- Argonne National Laboratory
- CISPA Helmholtz Center for Information Security
- ERATOSTHENES CENTRE OF EXCELLENCE
- Eastern Kentucky University
- Florida International University
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Instituto Politécnico de Coimbra
- Lunds universitet
- Luxembourg Institute of Science and Technology
- National Aeronautics and Space Administration (NASA)
- National University of Singapore
- Nature Careers
- Northeastern University
- Technical University of Denmark
- Technical University of Munich
- The Chinese University of Hong Kong
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF SYDNEY
- University of California Berkeley
- University of Central Florida
- University of Maryland, Baltimore
- University of Massachusetts
- University of Michigan
- University of Michigan - Ann Arbor
- University of Oxford
- University of Oxford;
- University of Texas at Austin
- 43 more »
- « less
-
Field
-
, the project seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic
-
-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments
-
-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
-
digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
-
. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments. Experiments with Argonne involvement include, but are not
-
will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
-
? PhD position in Algorithms and Extremal Combinatorics There is a vacancy for a PhD Research Fellow in Algorithms and Extremal Combinatorics at the Department of Informatics . The position is for a fixed
-
research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
-
tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly
-
develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work with the world's first exascale system