Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Poland
- Spain
- 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
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive
-
Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 20 days ago
expressivity and complexity of neural networks and neural operators, as well as on the development of novel algorithms connecting theory with practice. For more information contact Dr. Ahmed Abdeljawad
-
Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39061 Job Number SE176424 Position Information Department or Unit Name Fowler School
-
files for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108558 A cover letter and resume are required
-
About the Opportunity Job Summary: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include: Managing the research and development projects
-
Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
-
. Research Tasks and Training Objectives The doctoral candidate will: Develop numerical and data-driven models for thermoelectric coolers used in on-chip cooling applications Apply optimisation algorithms