Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- King's College London
- AALTO UNIVERSITY
- Heriot Watt University
- ;
- Durham University
- University of Cambridge
- Imperial College London
- King's College London;
- Swansea University
- UNIVERSITY OF VIENNA
- University of Reading
- Aston University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Manchester Metropolitan University
- The Royal Veterinary College, University of London;
- The University of Edinburgh
- University of Glasgow
- University of Lincoln
- University of Liverpool
- University of London
- University of Oxford;
- 14 more »
- « less
-
Field
-
About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
-
morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
-
networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
-
compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research
-
Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
-
construction of pulse compression systems, and building and operating optical characterization devices. Run existing simulation codes and process their results. Helping to develop new models and algorithms
-
the regulation of capsule expression during transition between host compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry
-
the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
-
and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical