Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- United Arab Emirates
- Netherlands
- Worldwide
- Australia
- Austria
- Canada
- Malta
- China
- Hong Kong
- India
- Ireland
- Romania
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Bulgaria
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 27 more »
- « less
-
Field
-
courses in Computer Science and Information Technology. Courses may include areas such as programming, data structures, algorithms, databases, cybersecurity, networking, web development, software
-
-transparent materials, and the utilisation of deep learning algorithms to accelerate computational solutions. Scientific Objectives Develop a self-contained finite volume solver for solidification of multiphase
-
their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are looking for a recognised business development
-
the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be
-
advancing the European Union's Quantum Technologies Flagship and the UN Sustainable Development Goals, fostering innovation-driven growth while preparing Europe to lead responsibly in the quantum revolution
-
AI. We champion rigorous, reproducible and reusable computational research that advance the field from fundamental algorithm developments to large-scale applications. The journal complements other
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
-
be responsible for carrying out research with the main duties including: development of a crop mapping algorithm computed on super-resolved Sentinel-2 images; develop an automated pipeline to integrate
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
of pinching plasmas. This research associate will work with the Michigan State University (MSU) team to develop new scalable algorithms inside of the Parthenon framework, an AMR performance portable framework