Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
-
be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
-
(e.g., including simulation, prediction). Enable the evolution of integrated data/models all along the Digital Twin lifecycle Ensure the consistency of integrated data and models with regard to potential
-
be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
-
experimental data gathered and processed by a doctoral candidate in the project, you will extend the existing open-source Model of Explicit Cross-section Hydraulic Anatomy (MECHA) to simulate water and solute
-
61850, IEC 60870-5-104, IEEE C37.118. Familiarity withgrid-forming control principles, converter modelling and deployment of real-time distributed responses to improve grid conditions. Experience working
-
activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the CSATLab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may
-
for the local energy community. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Generating models and simulating
-
data-driven models, mixing knowledge about human modelling, the driver-car-tire system and its environment, with telemetric and physiological data gathered from a world-leading car simulator. Your role