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
-
is a three year full time programme approved by the Health and Care Professions Council (HCPC), and accredited by the British Psychological Society (BPS) as a course of professional Doctoral training
-
for power electronics systems (assessed at application/interview) Experience of using computer-aided engineering including PCB design, schematic capture, embedded programming and circuit simulation (assessed
-
. 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
-
Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Neurology clinical academic training programme led by the Training Programme
-
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
-
you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria A PhD or equivalent experience in Engineering, Computer
-
Overview Inspired by the human brain, neuromorphic computing aims to tackle the growing energy demand of AI-based systems. We have an exciting opportunity to join the School of Computer Science as
-
/video analyses, in vivo electrophysiology, fly genetics, flash-freezing Drosophila under controlled illumination, electron microscopy and computational modelling, often engineering custom equipment
-
)/Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the CG clinical academic training programme led by the Training Programme Director Professor Meena