Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- Durham University
- DURHAM UNIVERSITY
- KINGS COLLEGE LONDON
- Heriot Watt University
- King's College London
- University of London
- Aston University
- Durham University;
- Imperial College London
- Liverpool School of Tropical Medicine;
- Manchester Metropolitan University
- Medical Research Council
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The Royal Veterinary College, University of London;
- UCL;
- University of Leeds
- University of Manchester
- University of Oxford;
- University of York;
- 13 more »
- « less
-
Field
-
Condensed Matter Physics group. The position is associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research
-
associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and Innovation (UKRI). The research builds upon our
-
associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and Innovation (UKRI). The research builds upon our
-
Matter Physics group. The position is associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and
-
, and others in the field have used a range of methods for deterministic and stochastic models, e.g. difference and differential equations, including time-delay differential equations, recursion equations
-
quantum networks and quantum sensors. Point defects in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon
-
on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
-
external research efforts, including partnerships with industry. Key responsibilities include: • Supporting the setup and ongoing management of histology facilities, including paraffin and cryo
-
in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon mediated entanglement for distributed quantum networks
-
of developing a knowledge cluster as a model for transition around the UK and internationally. This will build on the network and findings developed in an existing workshop series that brings together farmers