Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Singapore
- France
- Denmark
- Australia
- Norway
- United Arab Emirates
- Belgium
- Spain
- Canada
- Switzerland
- Italy
- Portugal
- Luxembourg
- Sweden
- Cyprus
- Finland
- Hong Kong
- Japan
- Morocco
- Poland
- Austria
- China
- Malta
- New Zealand
- Taiwan
- Bulgaria
- Estonia
- Worldwide
- 22 more »
- « less
-
Program
-
Field
-
research associate position in AI for science. The Learning Systems Group seeks a postdoctoral researcher specializing in federated learning and privacy-preservation algorithms. The successful candidate will
-
optimize algorithms for analyzing behavior data. Build or implement existing scripts to temporally align data across multiple modalities. Coordinate efforts with DNB researchers and established vendors (Med
-
figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
-
experience with, statistical methods and machine learning algorithms applied to climate science research challenges. They must be highly organised and motivated and should demonstrate aptitude for programme
-
develop research projects for the Internet of Things for Precision Agriculture (IoT4AG) research grant Develop novel semantic mapping algorithms in the field of agricultural and forestry robotics to promote
-
in multiple social media platforms: LinkedIn, Facebook, Instagram, Twitter -Creativity, Time Management, Teamwork, Flexibility Preferred Knowledge, Skills and Abilities: -Design, content curation, and
-
patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
-
multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
-
-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
-
research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across