Sort by
Refine Your Search
-
Employer
- ;
- ; City, University of London
- ; University of Birmingham
- Swansea University
- University of Nottingham
- ; Newcastle University
- ; Swansea University
- ; University of Cambridge
- ; University of Exeter
- ; University of Plymouth
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- ; Xi'an Jiaotong - Liverpool University
- 4 more »
- « less
-
Field
-
AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
-
The University of Exeter is offering up to 9 fully funded doctoral studentships for September 2024 entry as part of our Doctoral Training Partnership with the EPSRC (Engineering, Physical Sciences
-
-dimensional data sets are increasingly collected for medical diagnosis and in biological research and an important question regards characterising how information relevant for a certain medical purpose is
-
Physical activity (PA) is beneficial for physical and mental health at all stages of life and becomes of critical importance from mid-life onwards, when regular engagement can help prevent or reduce
-
Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
-
sequencing (a process termed next generation phage display, NGPD). The studentship will apply NGPD to target cell surface GAGs from breast cancer cell populations, identify specific binders, clone and express
-
@exmail.nottingham.ac.uk. Any queries regarding the application process should be addressed to [email protected]. Interview Date: Week commencing 17th June 2024. Start Date: 01/12/2024 or as soon as
-
equivalent to medical CAT scanning) provides an excellent tool to address AM inspection, but can be difficult to apply to in larger components. Working as part of a well-established group of PhDs and Doctoral
-
project is to better understand the reciprocal relationship between the cell metabolism and the irradiation. To that end we will develop a multi-scale, multi-physics computational model, based
-
or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable