Sort by
Refine Your Search
-
develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
-
The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
-
Applications are invited for a postdoctoral position in the Custom Computing Research Group, under the direction of Professor Wayne Luk. We are looking for motivated applicants with expertise in
-
The post of Research Associate (post-doctoral) will conduct research in data analysis and computational modelling of neuroimaging data, as part of a project titled “The Self, Unbound: Neurofeedback
-
radiances. Experience applying quantitative methods to Earth Observation datasets using a scientific computing programming language such as Python, IDL, MATLAB or equivalent is required. Demonstrable ability
-
Are you interested in using your computational biology skills to improve understanding of rare tumours and identifying biomarkers that will improve patient management? We are the world leaders in
-
sources, with strong potential for real-world applications in human-computer interaction, assistive technologies, embodied AI, and creative media generation. The posts will be based in the Department
-
, opportunities, risks and challenges of designing new musical instruments incorporating embedded computing and artificial intelligence, with a particular focus on research engagement with and dissemination
-
support the development of data management pipelines and the application of large language models (LLMs) for automating literature-based data extraction, facilitating the calibration of computational models
-
work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through