Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- AbbVie
- University of British Columbia
- University of South-Eastern Norway
- University of Stavanger
- Singapore Institute of Technology
- University of Bergen
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Harvard University
- Nature Careers
- The University of Queensland
- University of Birmingham
- University of Michigan
- University of Oslo
- University of Waterloo
- ;
- Auburn University
- Georgetown University
- University of Michigan - Ann Arbor
- Carnegie Mellon University
- University of Texas at Austin
- Western Norway University of Applied Sciences
- Australian National University
- Brunel University
- CRANFIELD UNIVERSITY
- Central Queensland University
- City of Hope
- DAAD
- Dana-Farber Cancer Institute
- ETH Zurich
- ICN2
- La Trobe University
- Marquette University
- Memorial Sloan-Kettering Cancer Center
- Monash University
- Rutgers University
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- Saint Louis University
- The University of Alabama
- Tufts University
- University of Agder
- University of California
- University of Canterbury
- University of Cincinnati
- University of Kansas Medical Center
- University of Liverpool
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Western Sydney
- 43 more »
- « less
-
Field
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
-
Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
-
. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
-
Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and
-
the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
-
& optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may be possible, depending on the interest of the PhD candidate and availability
-
writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
-
Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
-
Associate) PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply. Background in the application
-
Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes