Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Nottingham
- Aalborg University
- Centrum Wiskunde en Informatica (CWI)
- University of Newcastle
- University of Warwick
- Eindhoven University of Technology (TU/e)
- GFZ Helmholtz-Zentrum für Geoforschung
- Leiden University
- The University of Manchester
- University of Exeter
- University of Plymouth
- University of Sheffield;
- University of Warwick;
- 3 more »
- « less
-
Field
-
be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is compounded by the lack of rapid inspection methods capable
-
control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
-
control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
-
(DC15): Enhancing water distribution management through District Information Areas: A data-driven approach to optimisation and automation The successful candidate will develop the concept of District
-
-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
-
finite element analysis; MATLAB or Python programming; An interest in electrified propulsion and industrially relevant research. Experience in electromagnetic design, thermal analysis, optimisation
-
of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
-
Improve welfare of farmed fish and reduce environmental damage Lower capital and maintenance costs through optimised structures Candidate Profile Applicants should have a strong foundation in engineering
-
numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work independently while also collaborating in
-
PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
electrolytes remains challenging, as their microstructures must be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is