Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Poland
- Spain
- Singapore
- Portugal
- Belgium
- United Arab Emirates
- Denmark
- Netherlands
- Australia
- Worldwide
- Canada
- Malta
- Austria
- China
- Hong Kong
- India
- Ireland
- Romania
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Bulgaria
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 26 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Mathematics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Business
- Humanities
- Physics
- Psychology
- Earth Sciences
- Linguistics
- Philosophy
- Social Sciences
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
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
-
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
-
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
-
. 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
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
? No Offer Description Mission: Adapt simulators for electromagnetism, electronics and computer architecture and perform simulations in these areas. Functions to be developed: Provide support for
-
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
-
, 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
-
algorithms have been developed, most based on a hybrid architecture combining transform coding and predictive coding. Standards such as H.264/AVC, HEVC, and VVC follow this principle. While they offer highly
-
,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools