Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Durham University
- University College Cork
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Pennsylvania State University
- AALTO UNIVERSITY
- Campbell University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- EPFL
- INESC ID
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University of Florida
- 4 more »
- « less
-
Field
-
for finite element methods, or the AI-assisted discovery of new discretization paradigms for classes of PDEs where standard methods struggle, with their properties then verified formally. You will publish and
-
such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
-
frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
-
ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
-
consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
-
regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
-
inclusion Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code
-
obtained by assigning a weighting factor of 80% to the CV, and a weighting factor of 20% to the interview. Additionally, the evaluation panel retains the discretion to withhold the scholarship
-
behavior. The fundamental science of the M2 QM aims to address the two primary technological challenges: 1) how to create qubits for intrinsically quantum computing, and 2) how to replace elements
-
social considerations, and ethical and legal issues. The findings will help inform clinical, policy and regulatory decision-making around the implementation of these technologies. A key component of the