Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- United Kingdom
- Germany
- Sweden
- Norway
- Netherlands
- Poland
- Spain
- Singapore
- Denmark
- Belgium
- Italy
- Australia
- Finland
- United Arab Emirates
- Austria
- Ireland
- Luxembourg
- Switzerland
- Romania
- Czech
- Estonia
- Japan
- Morocco
- China
- Canada
- Latvia
- Brazil
- Greece
- Lithuania
- Croatia
- Cyprus
- Hong Kong
- Israel
- Andorra
- Iceland
- India
- Mexico
- Slovakia
- Taiwan
- Vietnam
- Europe
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Biology
- Materials Science
- Mathematics
- Business
- Chemistry
- Education
- Psychology
- Electrical Engineering
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Physics
- Humanities
- Linguistics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
-
learning workflows, and developing complete models. Example applications include drug design, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics
-
machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
-
”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
-
-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
-
Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke
-
extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
-
fusion technology with a focus on advancing 2D and 3D simulation methodologies for plasma transport, heat transfer and particle exhaust in the reactor, potentially including interactions with the broader
-
following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey Eligibility rules