Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
-
. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria Have completed or be near to completing a PhD in a relevant discipline (ecology
-
development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
-
. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
-
Health programme (Chief Investigator, Dr Matthew Franklin ) to evaluate the (cost-)effectiveness of mental health treatments used with Talking Therapies for anxiety and depression services using NHS real
-
a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
-
science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
-
to inform design of personal application for individual PhD research fellowship post Prepare papers for journals / presentations either in-house or at national / international conferences or seminars
-
at Undergraduate and Master levels. You will have a PhD in Philosophy or related subject area (or be close to completion), proven teaching ability and administrative skills. You will join a dynamic team of Academic
-
researchers through a structured programme of activities. Main duties and responsibilities Take a leading role in shaping how the Planning for Nature project communicates its research findings to a wide and