Sort by
Refine Your Search
-
About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
-
from these cellular elements. The cells used in this experimental system will be genetically modified such that their genotypes mimic genetic variants associated with BD. We will study these circuits by
-
About Us The Faculty of Life Sciences & Medicine is one of the largest and most successful centres for research and education in the UK. The Faculty was created as a result of the merger of elements
-
to have the following skills and experience: Essential criteria First degree and PhD in a relevant discipline such as pharmacy, medicine, drug delivery, pharmaceutical analysis A sound (theoretical and
-
well as response to treatments. The role also provides the opportunity to gain experience in data acquisition and analysis as part of the launch of the £11 million UKRI funded Clinical Research Centre, which houses
-
acquisition and analysis as part of the launch of the £11 million UKRI funded Clinical Research Centre, which houses state-of-the-art OP-MEG, MRI, EEG and fNIRS technologies. This is an excellent opportunity
-
analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also value our connections beyond the world of scholarship, with strong
-
kinds of task and activity in the project: literature reviews; primary and secondary data collection; interviewing informants; qualitative data analysis; presenting research at events; writing up research
-
experimental assessments across the UK. The successful applicant will oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely
-
oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely with families, NHS Trusts and charity partners, and contribute