15 algorithm-sensor-"University-of-Manchester" Postdoctoral positions at University of Oxford
-
developing the theoretical and algorithmic foundations of compositional world models. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as
-
are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
-
. The Medical Research Council have awarded up to £50M over 14 years for a new Centre of Research Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford
-
of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
-
Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects
-
transmission at multiple scales’, working with researchers at the Universities of Manchester and Cambridge, and the London School of Hygiene and Tropical Medicine. The project will involve the analysis of whole
-
. The Medical Research Council have awarded up to £50M over 14 years for a new Centre of Research Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford
-
the universities of Manchester and Oxford. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the
-
” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
-
Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical