Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- University of Oxford
- KINGS COLLEGE LONDON
- King's College London
- University of Oxford;
- ;
- AALTO UNIVERSITY
- University of Cambridge;
- Nature Careers
- University of Glasgow
- Heriot Watt University
- St George's University of London
- The University of Edinburgh;
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- Cardiff University
- City University London
- DURHAM UNIVERSITY
- Queen Mary University of London
- The University of Manchester
- UCL;
- UNIVERSITY OF EAST LONDON
- University of Bristol
- University of Bristol;
- University of Dundee;
- University of Exeter;
- University of Kent;
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- jobs.ac.uk
- 23 more »
- « less
-
Field
-
research in the fields of quantum transport in nanoelectronic devices, particularly those based on two-dimensional (2D) materials such as graphene, transition metal dichalcogenides, and more complex van-der
-
skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
-
will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily
-
will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily
-
is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial
-
for realization of coherent superconducting quantum circuits, enabling scalability with minimal additional cost and reduced complexity in technology transfer. Successful realization of these components requires
-
at familiar issues and deliver new tools to solve complex problems. About the role The Department of Mathematics at King’s College London invites applications for two postdoctoral research associate positions
-
this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
-
employability of our students. It has an active programme of internationally recognised research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant, with many