Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- 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
-
for real online scenarios and to study formal verification methods. The program will involve the study of machine learning tools and the development of simulation systems capable of integrating multiple data
-
storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any deterioration
-
digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
-
-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
-
? PhD position in Algorithms and Extremal Combinatorics There is a vacancy for a PhD Research Fellow in Algorithms and Extremal Combinatorics at the Department of Informatics . The position is for a fixed
-
will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
-
Autonomous System Designer you will design, implement and test algorithms for autonomous decision making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL), at ARL
-
) sensor data. This will be a small system-on-chip designed to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated
-
to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated into smaller, faster, more energy efficient and cost-effective hardware
-
, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault