102 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at King's College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
-
lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
-
for King’s Engineering. We offer undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based learning, catering for the needs of our
-
sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. King’s Careers & Employability (KC&E) empowers over
-
research. About the role: We are seeking a data scientist with extensive expertise in statistics, machine learning and AI, and with experience in mental health research and the analysis of electronic health
-
AI, machine learning, and deep learning. This is a fixed-term position, with the potential for extension. This is a full-time post 35 hours per week, and you will be offered a fixed term contract until
-
broad range of NLP tasks, including information extraction, relation extraction, clustering, classification, sentiment analysis, topic modelling using machine learning and NLP methods including rule-based
-
are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary
-
the role The PDRA will carry out research on probabilistic circuits (PCs) and tree-based machine learning methods for generative modelling, with a particular focus on responsible AI. The project builds
-
, CPRD) or hospital electronic health records Experience with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory