Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Forschungszentrum Jülich
- National Research Council Canada
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- ; University of Southampton
- CNRS
- Curtin University
- KINGS COLLEGE LONDON
- Leibniz
- National Renewable Energy Laboratory NREL
- Queensland University of Technology
- Susquehanna International Group
- University of Groningen
- University of Nottingham
- ; Brunel University London
- ; University of Exeter
- ; University of Nottingham
- Abertay University
- Agricultural university - Plovdiv, Bulgaria
- CSIRO
- CWI
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Empa
- Heidelberg University
- Institute of Physics of the Czech Academy of Sciences
- KTH Royal Institute of Technology
- MASARYK UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- New York University
- Technical University Of Denmark
- The University of Iowa
- The University of Manchester;
- University of Adelaide
- University of Basel
- University of Bergen
- University of Central Florida
- University of Luxembourg
- University of Newcastle
- University of Sheffield
- University of Strathclyde;
- University of Twente
- Université Laval
- Wetsus - European centre of excellence for sustainable water technology
- 36 more »
- « less
-
Field
-
sensing information from key locations on the offshore infrastructure. In this regard, the research will focus on the assessment of the nonlinear structural performance utilizing reliable and
-
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
-
application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
-
, 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
-
researchers in multi-investigator or multi-disciplinary scientific projects. Condition of Employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years
-
questions related to LH2. The ultimate goal is to create a robust modeling capability that supports the design, validation, and integration of reliable and efficient pumps for a fuel cell powered aircraft
-
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