Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- Durham University
- King's College London
- AALTO UNIVERSITY
- Heriot Watt University
- University of Liverpool
- DURHAM UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; University of Kent
- Nature Careers
- Royal College of Art
- ; University of Oxford
- Imperial College London
- Medical Research Council
- Swansea University
- ; King's College London
- ; Nanyang Technological University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- ; University of Sussex
- ; Xi'an Jiaotong - Liverpool University
- Aston University
- Birmingham City University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Newcastle
- University of Reading
- University of West London
- 32 more »
- « less
-
Field
-
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
-
on Experimental Study and Computational Solids Mechanics model of soft multifunctional materials such as magneto-active polymers (MAPs), Electro-active polymers (EAPs). The successful candidate will work on the
-
on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
-
, attack surfaces, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability
-
of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
-
will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
-
fluorescence-lifetime detection (Fast-FLIM) and temporal focusing. This instrument will deliver quantitative, sub-second imaging of live three-dimensional cell-culture and organoid models, advancing fundamental
-
methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training
-
the origins of congenital birth defects. In this project, using the chick embryo model, will create experimental situations in which cells of the limb bud are exposed to low, intermediate, or high physiological
-
researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural