Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- Ghent University
- ; The University of Manchester
- Cornell University
- SciLifeLab
- Vrije Universiteit Brussel
- ;
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; University of Hull
- ; University of Strathclyde
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Max Planck Institute for Sustainable Materials •
- Norwegian Meteorological Institute
- RMIT University
- Technical University of Denmark
- Technical University of Munich
- The Ohio State University
- University of Nottingham
- University of Sheffield
- University of South Carolina
- 14 more »
- « less
-
Field
-
science/engineering, applied physics/mathematics, or related fields. Prior experience in computer vision would be beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we
-
relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control
-
status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including
-
project management skills. Candidates with strong skillset, including familiarity with structural health monitoring, computer vision and machine learning are desired for this project. Must be eligible
-
resource efficiency. A physics-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated
-
, HIV/AIDS status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status. Final candidates are subject to successful completion of a background check
-
and near infrared, mid infrared and advanced machine learning and artificial intelligent modelling to enable accurate monitoring of nitrogen mineralization rate to enable understanding and improving
-
techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
-
diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
-
your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references