Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Norway
- Singapore
- Denmark
- France
- Australia
- United Arab Emirates
- Belgium
- Canada
- Spain
- Switzerland
- Sweden
- Italy
- Portugal
- Cyprus
- Hong Kong
- Japan
- Luxembourg
- Morocco
- Poland
- China
- Finland
- Malta
- New Zealand
- Taiwan
- Bulgaria
- Estonia
- Ireland
- Worldwide
- 22 more »
- « less
-
Program
-
Field
-
formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
-
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
-
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
-
-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
-
from multiple systems and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms
-
Medicine Secondments: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn
-
training courses and workshops of the ENDOTRAIN network Research Fields: Hormones, Digital Health, Medical Sensors, Physiology Secondments: University of Ulm (Germany): Algorithms for wearable data analysis
-
(D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone
-
that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
-
algorithms to ensure seamless, reliable, and secure wireless communication in challenging and dynamic environments. The key responsibilities for this positions are listed as the following: Develop protocols