99 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at University of Bristol in United Kingdom
Sort by
Refine Your Search
-
We are seeking a talented and enthusiastic postdoctoral (or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning
-
Interaction and physical computing. Supervise postgraduate research students working on topics related to hardware, fabrication and/or interactive systems. Teach effectively across the full curriculum
-
order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
-
-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support in particular our MSc
-
, these tools have historically suffered from high computational costs preventing their large-scale use in an industrial environment. The role holder will develop and deploy theory-guided machine learning
-
. You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly
-
, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
-
@bristol.ac.uk To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
-
equitable community. For further information, see: School of Earth Sciences (including EDI page): http://www.bristol.ac.uk/earthsciences/ OGU: http://www.bristol.ac.uk/chemistry/research/ogu/ CERES: https
-
climate. Details of the Orr-Ewing group can be found at: https://bristoldynamics.com/ A list of the group’s publications is available at: https://research-information.bris.ac.uk/en/persons/andrew-j-orr