Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Spain
- Germany
- Netherlands
- Sweden
- Denmark
- France
- Norway
- Belgium
- Australia
- Poland
- Portugal
- Romania
- Switzerland
- Italy
- Luxembourg
- Canada
- Austria
- Czech
- Estonia
- Finland
- Ireland
- Japan
- United Arab Emirates
- Chile
- Hong Kong
- Morocco
- New Zealand
- Singapore
- China
- Cyprus
- Lithuania
- Mexico
- 24 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Materials Science
- Business
- Science
- Biology
- Education
- Mathematics
- Electrical Engineering
- Social Sciences
- Environment
- Arts and Literature
- Chemistry
- Humanities
- Law
- Psychology
- Earth Sciences
- Linguistics
- Design
- Physics
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
actively engage in project activities—including meetings, research schools, outreach events, and collaboration within the broader Arctic Ocean 2050 network. The candidate will also become part of
-
/Administrative Internal Number: 6850857 Assistant Director, Data Center Facilities Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff
-
for live webcasts and virtual training, including class setup, participant and instructor communications, distribution of supporting materials, attendance tracking, and completion of required post
-
) of different sizes. The central objective is to enhance energy efficiency, prolong battery lifespan, and achieve optimal power distribution through intelligent, data-driven decision-making frameworks. This study
-
artificial intelligence—especially deep learning—offers transformative potential for developing next-generation earth system models. Recent breakthroughs, such as neural network-based short-to-medium term
-
learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
-
, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers, shocks, vortices, thermal gradients and
-
of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
-
candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on on the performance of quantum key distribution protocols over existing networks using
-
and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group