Sort by
Refine Your Search
-
educators, to give young children a voice. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together with relevant experience and sufficient
-
especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
-
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
-
becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
-
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
-
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
-
funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
-
for the provision of research support for the ARC project on risk assessment tools in psychiatry, and particularly in child and adolescent psychiatry. About You You will have or be close to completing a PhD/DPhil in
-
involvement with the research project, supporting research volunteers and contributing to public engagement activities. You will process and analyse data using both quantitative and qualitative methodology and
-
Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew