Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- Portugal
- United Kingdom
- Netherlands
- Norway
- Germany
- Italy
- Spain
- Belgium
- Sweden
- Poland
- Denmark
- Australia
- Finland
- United Arab Emirates
- Canada
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- India
- Mexico
- Romania
- Cyprus
- Greece
- Hong Kong
- Japan
- Saudi Arabia
- Slovenia
- Brazil
- Bulgaria
- Croatia
- Czech
- Estonia
- Lithuania
- Malta
- 30 more »
- « less
-
Program
-
Field
-
: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
-
Contract 12 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title: Research and development specialist Job Reference: UOL08404 . Where to apply Website https
-
, synchronization, and data acquisition Integrate spectrum sensing and direction-of-arrival algorithms developed within the project Validate the sensing platform through laboratory and field experiments Collaborate
-
. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
-
within a Research Infrastructure? No Offer Description Description of the research area and expectations towards the Candidate The position is associated with the development of an interdisciplinary
-
. The role would involve optimizing an artificial touch sensor for use in detecting defects during composite layup, as well as developing algorithms and visualization tools to demonstrate its performance
-
team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
-
research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
-
of this type of experiment for battery science, as well as for many other research domains. This project will also include the development of iterative reconstruction and noise suppression algorithms towards