366 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
-
-profile scientific projects. In this role, you will be required to manufacture high-precision components for experimental equipment using CNC and manual machine tools. You will also be involved in
-
to adapt to meet the experimental demands of dynamic research environment by quickly learning new skills as required whilst maintaining a high level of attention to detail. Experience of creating
-
computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
-
well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
-
computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
-
machine learning methods is desirable. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
-
the ability to learn new software packages and working knowledge of MS office including Word and Excel. Experience of change management and setting up new procedures and processes. What We Offer: As an employer
-
initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence and accuracy
-
). This role will primarily support the Professor of Clinical Machine Learning, Professor David Clifton, as well as other academic members of the group. The position is permanent and full-time, although