Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- CNRS
- National University of Singapore
- University of Bergen
- University of Exeter
- University of Oslo
- Zintellect
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Auburn University
- Australian National University
- Colorado State University
- FCiências.ID
- Indiana University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Oak Ridge National Laboratory
- Simons Foundation/Flatiron Institute
- University of British Columbia
- University of North Carolina at Chapel Hill
- University of South-Eastern Norway
- University of Waterloo
- 10 more »
- « less
-
Field
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
-
, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical
-
development, paleo-climate data collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
-
. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
-
solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
-
, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
-
, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
-
) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
-
-generation sequencing assay for clinical use (LDT) and developing and optimizing methods to conduct assay manufacturing in house or in a mobile setting under ISO conditions for clinical use. Where will I be