Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Portugal
- Spain
- Italy
- Norway
- Singapore
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- China
- Hong Kong
- Ireland
- Canada
- Finland
- Estonia
- Austria
- Czech
- Japan
- Worldwide
- Bulgaria
- Cyprus
- Malta
- Greece
- India
- Morocco
- Slovakia
- Switzerland
- Andorra
- Brazil
- Saudi Arabia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
-
of Electromechanical Engineering, under the following conditions: Research Field: Informatics Engineering relaed fields Objectives: The objective of this grant is: (1) to support the programming of AI algorithms
-
multimedia networks. IEEE Communications Magazine, 2013, vol. 51, no 6, p. 152-159. Work Plan Defence and Space, combining theoretical research, algorithm design, simulation, and experimental validation
-
, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: The selected candidate will join the ERC Starting Grant project “CUE GO – Contextual Radio Cues
-
systems, and algorithmic decision processes, as well as their applications across a wide range of domains. Within the SILS liberal arts program, we seek a candidate who can complement and strengthen our
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
components and control algorithms for the printing process that take into account our theoretical understanding of the processes occurring and utilizing high-speed in situ data acquisition to respond