Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
-
particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
-
clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
-
machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
-
. Experience solving diffusion or related equations by Monte Carlo methods. Knowledge of MRI/diffusion tensor MRI. Experience with machine learning/deep learning/AI methods. Be part of a team developing cutting
-
, machine learning, or data assimilation, with an interest in large language models and emerging AI methods The ability to work independently and collaboratively within an interdisciplinary and international
-
will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
-
-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
-
should indicate this within their application. Candidates in their early career post-PhD are expected to start at the lower end of the salary range. You will: Develop and apply novel graph learning based
-
. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning