Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- University of Cambridge
- Royal College of Art
- The University of Manchester
- University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- Brunel University
- Cranfield University
- Imperial College London
- King's College London
- King's College London;
- Lancaster University
- Newcastle University
- Newcastle University;
- Oxford Brookes University
- The University of Edinburgh
- UCL
- University College London
- University of Birmingham
- University of Birmingham;
- University of Cambridge;
- University of Essex;
- University of Newcastle
- University of Sheffield
- University of Surrey
- University of Sussex
- University of Warwick
- 18 more »
- « less
-
Field
-
economy-wide modelling. Assess the distributional impacts of network investment using macroeconomic models such as Input Output and Computable General Equilibrium. There is a unique the opportunity to gain
-
we will use mathematical descriptions of neuronal spontaneous activity and network theory, to produce biologically plausible computational models of connectivity in the newborn brain, using state
-
Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a
-
Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer
-
to work with Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie Curie Network MetaExplore
-
PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
-
(functional connectivity). In this project we will use mathematical descriptions of neuronal spontaneous activity and network theory, to produce biologically plausible computational models of connectivity in
-
provide limited supervision and instruction to PhD and Master's students. Build and maintain internal and external contacts and participate in research networks to exchange information and support future
-
for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
-
respond to aerodynamic loads in real time, mimicking avian flight. You will adopt an integrated computational–experimental approach, including CAD for structural design, aeroelasticity modelling of aircraft