Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Technical University of Munich
- Curtin University
- Queensland University of Technology
- Susquehanna International Group
- Technical University of Denmark
- University of Groningen
- University of Nottingham
- ; Brunel University London
- ; University of Birmingham
- ; University of Bristol
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- Abertay University
- CSIRO
- CWI
- DAAD
- Empa
- Linköping University
- MASARYK UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- Umeå University
- University of Adelaide
- University of Central Florida
- University of Newcastle
- University of Oslo
- University of Twente
- 24 more »
- « less
-
Field
-
, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
-
specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling
-
. Experience writing project proposals. Experience in tomography analysis for 3-D imaging. * Significant experience is defined as two (2) to five (5) years of experience. Condition of Employment Reliability
-
focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
-
supported by collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of secure, reliable, and transparent
-
into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
-
model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
-
electricity, industry, transport, and exports. CSIRO is playing a pivotal role in this shift, delivering reliable, evidence-based research to support the development of resilient and efficient energy systems
-
that the electrolysers operate safely and reliably while fulfilling the intended specifications. The knowledge gained from the experiments will be used to determine the appropriate risk and reliability analysis
-
” analysis should in principle be able to extract information beyond the limits of current techniques, its development is still in an early phase. There is a still need to develop reliable ways to robustly