Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; University of Birmingham
- University of Cambridge
- ; University of Warwick
- ; The University of Manchester
- ; City St George’s, University of London
- ; Newcastle University
- ; Brunel University London
- ; Swansea University
- ; University of Exeter
- University of Birmingham
- University of Manchester
- University of Sheffield
- ; University of Cambridge
- ; University of Leeds
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; Imperial College London
- ; Loughborough University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Oxford
- ; University of Plymouth
- ; University of Strathclyde
- Durham University
- Imperial College London
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Nature Careers
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UCL
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Newcastle
- University of Plymouth
- University of Strathclyde
- 36 more »
- « less
-
Field
-
team bridging aerospace and materials research, with access to high-performance computing resources and the university’s state-of-the-art materials research facilities, including high-resolution X-ray CT
-
disability studies with environmental humanities (cf. e.g. Ray and Sibara [eds] 2017) to outline a series of case studies from across history, literature and/or the arts; it is flexible in terms of which
-
- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
-
THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR
-
alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
-
candidate with experience in cell culture, stem cells, molecular biology, immunohistochemistry, biochemistry, protein purification and/or confocal imaging. Experience in using human tissue is advantageous. A
-
more sensitive and faster cancer imaging. This PhD project will focus on surface functionalisation of metascintillators to optimise their scintillation performance, light yield, timing resolution, and
-
Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
-
electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
-
apparatus equipped with thermocouples and thermal imaging to simulate realistic runaway events. Top-performing coatings will be validated in situ on live EV cells under controlled runaway conditions. Dr