Sort by
Refine Your Search
-
Country
-
Employer
- ; University of Exeter
- ; University of Plymouth
- ;
- ; Cranfield University
- ; Lancaster University
- ; University of Nottingham
- CNRS
- Cornell University
- Cranfield University
- ETH Zurich
- Eindhoven University of Technology
- Helmholtz
- NTNU - Norwegian University of Science and Technology
- Stockholm University
- Tallinn University of Technology
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Copenhagen
- University of Nottingham
- Victoria University of Wellington
- 10 more »
- « less
-
Field
-
Improved physical modelling techniques for new high capacity floating offshore wind turbines DoS: Dr Martyn Hann ([email protected] , tel.: +44 1752 586130) 2nd Supervisor: Dr Sanjay
-
of DOC in peatland-fed raw waters. DOC can react with chlorine to produce carcinogenic disinfection by-products. This project aims to develop a new, effective, proof-of-concept process for removing DOC
-
are discretised and solved numerically; this process of discretisation involves splitting the domain of interest into subdomains called cells, which make up the mesh covering the domain. The process of creating
-
. The further process After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment. The assessor will
-
25 May 2024 Job Information Organisation/Company CNRS Department Institut des Sciences Moléculaires d'Orsay Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
-
. For more information on the admissions process generally, please contact [email protected] The closing date for applications is 12 noon on Monday 12th of August 2024. We regret
-
of these technologies. However, for camera trap data to be useful, any species in each image or video must be identified. Manual identification is slow and, thus, AI tools to automate the process have proliferated
-
ensure that all aspects of the design and integration process are captured including integration with cooling and thermal management system, physical integration and installation, selection of materials
-
the work will be mostly theoretical and numerical. State-of-the art modeling and reduction techniques will serve the design process. The concepts will be validated in laser-cut or 3D printed prototypes. The
-
will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity