Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experiments and interpret results. Contribute to biomarker discovery and predictive model development. Support data visualization, reporting, and dissemination of findings in publications. Requirements PhD in
-
: • Identifying circular business models, collaborative consumption models, infrastructure needs, social enterprises, financial incentives and systems that could be developed to support and scale-up the transition
-
new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is
-
. It is expected that the data obtained will ultimately make it possible to the development of a new application-oriented model. We are looking for a strong postdoctoral fellow who will be able to become
-
design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
-
to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
formulations; - Availability to start working on the project on January 1st, 2026; - Fluent (writing and speaking) in English; Preferential: - Previous laboratory and research experience related to the project
-
framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
-
doctoral degree (PhD. in Computer Science). Start date: Spring 2026. Project Description This PhD project explores the foundations of tractable probabilistic models, i.e. machine learning models that support