Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Nottingham
- KINGS COLLEGE LONDON
- University of Warwick;
- ;
- ; Imperial College London
- ; Swansea University
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- Imperial College London
- The University of Manchester;
- Trinity Laban Conservatoire of Music and Dance
- University of Birmingham
- University of Cambridge
- University of Greenwich
- University of Sussex;
- 8 more »
- « less
-
Field
-
(prae-doctoral position) in this 4-year role, you will be part of the Quantum Foundations and Quantum Information Theory team led by Professor Časlav Brukner. Your work will focus on research
-
times. Lithium-ion batteries due to their high energy density, long lifetime, fast charging, wide operating temperature, and light weight, are the most common choice for the energy storage system (ESS
-
Immunoprecipitation Mass spectrometry of Endogenous complexes). We have identified about 50 proteins that can associate with Ascl1 or other NEPC transcription factors, some of which are enzymes that could in theory be
-
This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
-
reflection. Our previous work has only just reached the point where all the above elements have been successfully combined [1-2]: a working multi-scale design process combining theory and numerical simulations
-
contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
-
in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC) and CDN researchers, together with clinical researchers from King’s, make up
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
-
. Ultimately, this work bridges the gap between the theory of advanced material science and the challenges of implementation in an industrial environment. This research contributes to advance the fundamental