Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; University of Leeds
- Swansea University
- ; University of Plymouth
- University of Nottingham
- ; University of Sussex
- University of Cambridge
- ; Manchester Metropolitan University
- ; The University of Manchester
- Cranfield University
- ; Anglia Ruskin University
- ; Aston University
- ; Loughborough University
- ; Newcastle University
- ; Swansea University
- ; UCL
- ; University of Birmingham
- ; University of Cambridge
- ; University of Exeter
- ; University of Hull
- ; University of Warwick
- University of Newcastle
- University of Sheffield
- 13 more »
- « less
-
Field
-
. A computational workflow may be integrated alongside these experiments to create a powerful framework to aid future design development. In situ mechanical testing with any imaging techniques has its
-
batch are not readily translatable to scaled up processing. We have demonstrated that microwave heating and flow chemistry are able to provide distinct processing advantages in the synthesis of MOFs owing
-
, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
-
minimum English language requirements . How to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert reference
-
) imaging devices (endoscopes) for detecting cancer in hard-to-reach areas of the body, such as the pancreas and ovaries. Background: Cancers deep within the body are notoriously difficult to detect and treat
-
Accountabilities Characterising particles supplied by the project partners using Ocular Systems technology Developing a DEM model for predicting packing density Developing algorithms and methods for processing data
-
Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
-
algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
-
the Cambridge Brain Tumour Imaging laboratory is a unique laboratory involved in using imaging and other techniques o guide and improve surgery. This project is funded through the NIHR HealthTech Research Centre
-
Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience