Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- United Kingdom
- Portugal
- Netherlands
- Norway
- Germany
- Italy
- Spain
- Belgium
- Sweden
- Poland
- Denmark
- Australia
- Finland
- United Arab Emirates
- Canada
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Mexico
- Romania
- Cyprus
- Czech
- Greece
- Hong Kong
- India
- Japan
- Saudi Arabia
- Slovenia
- Brazil
- Bulgaria
- Croatia
- Estonia
- Europe
- Lithuania
- Malta
- 31 more »
- « less
-
Program
-
Field
-
, extensive computing resources and close day-to-day supervision within the group. Tasks and responsibilities: include developing reconstruction algorithms for the muon bundles recorded by KM3NeT; extracting
-
the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
-
Department BSD CTD - Data Science About the Department The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline
-
, financed by the Swedish Energy Agency, you will work closely with industrial partners ESAB and Höganäs, with the overall vision of developing effective algorithms for rapid, robust predictions of welding
-
: Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic
-
. The successful candidate will develop and implement analytical approaches that address confounding, bias, missing data, and other methodological challenges common to observational and longitudinal research
-
Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 6 days ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
-
fundamental AI research to push the boundaries of AI Establishing a collaborative hub that unites researchers, entrepreneurs, and industry leaders Developing cutting-edge AI products that reach billions and
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques