Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- Imperial College London
- Nature Careers
- KINGS COLLEGE LONDON
- University of Cambridge
- UNIVERSITY OF SOUTHAMPTON
- University of Oxford
- CRANFIELD UNIVERSITY
- King's College London
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- University College London
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Southern Denmark
- Oxford Brookes University
- St George's University of London
- University of Glasgow
- University of Leicester
- University of Manchester
- University of Sheffield
- University of Stirling
- 15 more »
- « less
-
Field
-
Applications are invited for the role of Clinical Research Fellow within the Academic Unit, Mental Health and Clinical Neurosciences, based in F3, in the Magnetic Resonance and Precision Imaging (MR
-
of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving
-
internationally recognised for its research in craniofacial biomechanics. Located in UCL Mechanical Engineering and supported by state-of-the-art imaging and material characterisation facilities, the lab focuses
-
impact alongside academic and industrial partners. You will be responsible for: Design, prototype, and validate embedded control systems for advanced BMS solutions, using microcontrollers (e.g., Arduino
-
About Us Applications are invited for a clinical research fellow in Cardiac MRI to undertake clinical and research focussed on advanced cardiovascular magnetic resonance imaging under
-
online behaviour at scale, across multiple modes of communication (messages, images, video, memes and emojis) that shape participation and meaning in warfare. You will lead and manage a range of individual
-
We are seeking an ambitious and highly motivated postdoctoral researcher to help develop the next generation of fibre-based optical imaging and spectroscopy tools. This EPSRC-funded role is central
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
-
the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass