Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
influences early maturation and later outcomes. You will work as part of a team including clinicians, neuroscientists, engineers and computer scientists, engaged with studying the early developing brain with
-
computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
-
presentation Human study experience Skills in the development and running of analytical assays Desirable criteria Skills in product design and operating on computer-aided design CAD software e.g. Fusion 3D
-
computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
-
systems and vacuum systems. Experience of electronic device design and construction. Experience of computer aided design (CAD) of components and devices. How to Apply Applications can be submitted up
-
part of a team including clinicians, neuroscientists, engineers and computer scientists, engaged with studying the early developing brain with previously unprecedented precision. The post holder must
-
software such as recommendation systems, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers
-
activities; High level of written and oral communication skills; Very good written and spoken English; Computer skills; Ability to work in a team; What we offer: Work-life balance: Our employees enjoy flexible
-
to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in computer architecture and hardware security, significant
-
detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or