-
also runs an enormous amount of social groups and sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via
-
discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications
-
, and in leading complex projects in data systems and processes, and have experience with informatics and statistical aspects of data management. It is essential you are an experienced user of data
-
Committed to equality and valuing diversity. Application Process You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must
-
reasoning processes to enhance transparency and accountability; (5) assess privacy risks of watermarking; and (6) conduct privacy preservation assessments, including training data extraction and membership
-
in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
-
into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
-
Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical