Sort by
Refine Your Search
-
mathematics, machine learning, and robotics. What will you be doing? The successful candidate will have the opportunity to: · Pursue and develop their own independent research agenda in areas of mutual interest
-
join the Physical Mathematics Laboratory, a team of researchers led by Dr. Stuart Thomson with interests in physical applied mathematics, machine learning, and robotics. The successful candidate will
-
or computer modelling of behaviour. You will be highly motivated, collaborative and an excellent communicator (especially with respect to writing), and have a demonstrable desire to learn new skills
-
activities as required. A PhD in statistics, machine learning, mathematical modelling or other relevant quantitative subject. Experience in infectious disease mathematical modelling. Experience with
-
of machine learning techniques to build predictive models for outcomes such as joint replacement; Mendelian Randomisation studies utilising genetic data in UK biobank and other cohorts to establish whether
-
of energy-efficient hardware, embedded machine learning and sensor-integrated nodes for the edge of the network. We offer a supportive and inclusive academic environment, with access to state-of-the-art lab
-
that is pioneering transformative edge computing solutions including novel semiconductor devices, design and implementation of energy-efficient hardware, embedded machine learning and sensor-integrated
-
multidisciplinary, combining domain knowledge with cutting-edge research to inform and develop the technologies and approaches that industry need to create the next generation of machines, products and production