Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- Portugal
- United Kingdom
- Netherlands
- Norway
- Germany
- Italy
- Spain
- Belgium
- Sweden
- Poland
- United Arab Emirates
- Australia
- Denmark
- Canada
- Finland
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Greece
- Hong Kong
- Mexico
- Romania
- Cyprus
- Czech
- Estonia
- Saudi Arabia
- Slovenia
- Brazil
- Bulgaria
- Croatia
- Japan
- Lithuania
- 28 more »
- « less
-
Program
-
Field
-
. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
-
relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and
-
systems, autonomous vehicle control, robotics, numerical simulation and the ability to develop algorithms in research environments will be an advantage. - PROFESSIONAL EXPERIENCE. 50 % Prior experience
-
of advanced Federated Learning algorithms. The research activity will be aimed at the study, implementation, and validation of distributed learning solutions. Where to apply Website https://pica.cineca.it/unina
-
Overview We are seeking an experienced researcher to lead the development of decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
-
algorithms that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of reinforcement learning algorithms; possibly the study of
-
the interface between the classical and quantum worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability
-
machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
-
control algorithms and optimization frameworks for adaptive neuromodulation strategies aimed at stabilizing sleep and mitigating seizure burden. Pipeline Development & Data Curation: Build, automate, and