Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Chalmers University of Technology
- Eindhoven University of Technology (TU/e)
- Oak Ridge National Laboratory
- University of Pittsburgh
- California Institute of Technology
- Curtin University
- King Abdullah University of Science and Technology
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University College Dublin
- University of Amsterdam (UvA)
- University of Copenhagen
- Aarhus University
- Brown University
- Brown University School of Engineering
- Carnegie Mellon University
- Deutsches Elektronen-Synchrotron DESY
- ETH Zurich
- Fraunhofer-Gesellschaft
- Georgia Institute of Technology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute of Photonic Sciences
- KTH Royal Institute of Technology
- Missouri University of Science and Technology
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- National Research Council Canada
- National University of Singapore
- North Carolina State University
- Northeastern University
- Queen's University - Electrical and Computer Engineering, Smith Engineering
- Rochester Institute of Technology
- Rutgers University
- Semiconductor Laboratory of the Max Planck Society (HLL), Garching
- Singapore University of Technology & Design
- Technical University of Munich
- University of Birmingham
- University of California
- University of Electronic Science and Technology of China (UESTC)
- University of Glasgow
- University of Oslo
- University of Southern California
- University of Texas at Austin
- University of Toronto
- Villanova University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 38 more »
- « less
-
Field
-
of electrical power system planning and operation. The dual goal is to tap into the current capabilities of Quantum Computing while also streamlining the future exploitation of further advancements in the field
-
networks and quantum circuits using techniques from (formal) computer science. You will work closely with this growing team, where most members, including the first PhD candidates who joined in September
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: A Readiness Assessment Methodology for quantum technologies Change: Adjust the UNESCO
-
network of peers, senior researchers and industry contacts working at the front line of quantum computing, and a cross-disciplinary profile that remains rare and in high demand. You will be supervised by Dr
-
intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
-
materials, and fundamental quantum science. Successful candidates will show commitment to a high standard of teaching at all levels. RESPONSIBILITIES Conduct high-quality research, leading to publications in
-
for the scaling phase of the programme (2030-2035). The programme has a strong focus on materials R&D for realizing state of the art quantum processor technologies, which will be synthesized in ultra-high vacuum
-
You will develop new theoretical methods for quantum sensing with mechanical systems, explore their use in tests of fundamental physics, and help build the research environment of a new theory group
-
industry value in the short to medium term. This includes applications combining quantum computing, artificial intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms
-
quantum control and noise mitigation techniques to prepare, manipulate, and protect fragile quantum states, improving the performance of mechanical systems for sensing, metrology, and tests of fundamental