Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- King's College London
- ;
- Heriot Watt University
- AALTO UNIVERSITY
- Durham University
- King's College London;
- Swansea University
- UNIVERSITY OF READING
- University of London
- University of Oxford;
- University of Reading
- Aston University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Imperial College London
- Manchester Metropolitan University
- The Royal Veterinary College, University of London;
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Glasgow
- University of Liverpool
- 13 more »
- « less
-
Field
-
expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human
-
, microwave engineering, mobile communications systems and autonomous systems. Of particular interest to ISSS is the design, modelling, simulation, processing of information from and system integration
-
are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
-
vitro, organoid co-culture models will be developed using primary human epithelial cells. Candidates should have an excellent research track record, be committed to the project and keen to work in a
-
and autonomous systems. Of particular interest to ISSS is the design, modelling, simulation, processing of information from and system integration of sensors. The Signal and Image Processing Laboratory
-
be on simulating the printing process, which requires, e.g., the definition of a proper material model that adequately describes rheological aspects and the adjustment of extrusion-related parameters
-
Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
-
/or their active counterparts. • To perform direct numerical simulations of the continuum partial differential equations of fluid dynamics, solid mechanics, soft matter or active matter
-
temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
-
plan to use these data to identify the virus and make inferences about potential human infection and transmission. This will involve analysis of viral evolution, simulation of potential scenarios and