48 parallel-computing-numerical-methods-"https:" research jobs at King's College London
Sort by
Refine Your Search
-
, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
-
scientists. Based across Guy’s, St Thomas’ and Waterloo campuses, King’s Denmark Hill, our academic programme of teaching, research and clinical practice is embedded across five Departments. More information
-
About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next
-
reconstruction Experience of computational modelling and simulatxion Knowledge of statistical and/or machine learning methods e.g. for 3D imaging data for applications such as segmentation, registration or lesion
-
wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
-
’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
-
; physiology and women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
-
modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
-
recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a Postdoctoral Research
-
Waterloo Campuses have been greatly enhanced since 1998 through a capital investment programme of approximately £200 million, which has provided state-of-the-art laboratories and a high-quality learning