Sort by
Refine Your Search
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
-
engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
-
statistical and machine learning techniques to analyse how network activity changes in response to these perturbations. This involves identifying patterns, dependencies, and emergent properties across different
-
strategies, directly supporting King's mission to deliver world-leading translational research in precision medicine. This position is an exciting opportunity for an enthusiastic machine learning researcher
-
medicine. This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several
-
that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
-
general audience Desirable criteria Experience with machine learning Coding in PyTorch Evidence of published work simulating soft tissue mechanics Experience supervising junior team members and PhD students
-
-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human