Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Graz University of Technology
- CNRS
- Harvard University
- NTNU Norwegian University of Science and Technology
- Utrecht University
- Aalborg University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Maastricht University (UM)
- National Research Council Canada
- Technical University of Denmark
- University of Chichester
- University of Twente
- University of Twente (UT)
- University of Tübingen
- Adam Mickiewicz University, Poznań
- Biofyzikální ústav Akademie věd ČR, v. v. i.
- CMU Portugal Program - FCT
- Curtin University
- Empa
- GFZ Helmholtz-Zentrum für Geoforschung
- Hotelschool The Hague
- ICN2
- Inria, the French national research institute for the digital sciences
- Institute for Ophthalmic Research
- KU LEUVEN
- King's College London;
- Leiden University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- Technical University of Munich
- Technological University Dublin
- The Ohio State University
- The Swedish University of Agricultural Sciences
- The University of Alabama
- UNIS
- University of Amsterdam (UvA)
- University of East Anglia
- University of Kent
- University of South Carolina
- University of Warwick
- University of Zurich
- 35 more »
- « less
-
Field
-
assess the structural condition therefore enable both lighter designs and more efficient maintenance strategies. To address this challenge, the project aims to develop structural health monitoring
-
maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously assess the structural condition therefore enable both lighter designs and more efficient maintenance
-
, their performance depends on effective operation and maintenance which in practice is often reactive or based on fixed schedules, despite large spatial and temporal variability in sediment accumulation
-
intervals may be more conservative than necessary. Developing reliable methods to continuously assess the structural condition therefore enable both lighter designs and more efficient maintenance strategies
-
retaining sediments and associated contaminants. However, their performance depends on effective operation and maintenance (O&M), which in practice is often reactive or based on fixed schedules, despite large
-
Python, MATLAB, R or equivalent You must have relevant knowledge or experience in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor
-
in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor data analysis, statistical modelling, machine learning, life-cycle cost
-
Application Deadline 7 Oct 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Not Applicable Hours Per Week 40 Offer Starting Date 10 Oct 2026 Is the job funded through the EU
-
2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position
-
. Bearingless pumps are a promising solution because they eliminate mechanical bearings and shaft seals, thereby reducing frictional losses, wear, and maintenance requirements while enabling fully electrified