Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- KINGS COLLEGE LONDON
- ;
- King's College London
- University of London
- Imperial College London
- McGill University
- University College London
- Medical Research Council
- Nature Careers
- ; City St George’s, University of London
- ; Queen Mary University of London
- ; St George's, University of London
- ; UCL
- ; University of Greenwich
- Royal College of Art
- 5 more »
- « less
-
Field
-
potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
-
and motivate others to do the same Multi modal live imaging and mammalian cell biology Hands-on experience in imaging Strong understanding of image analysis Desirable Experience with relevant software
-
the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
-
Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
-
, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
-
, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
development. The successful candidate will have a MSc or equivalent experience in a relevant discipline (e.g., computer science, clinical informatics, software development, knowledge representation, machine
-
or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication