Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- Imperial College London
- KINGS COLLEGE LONDON
- Nature Careers
- University of Sheffield
- ; University of Cambridge
- ; University of Glasgow
- CRANFIELD UNIVERSITY
- City University London
- King's College London
- Manchester Metropolitan University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- UNIVERSITY OF SOUTHAMPTON
- University College London
- University of Cambridge
- University of Manchester
- University of Stirling
- 10 more »
- « less
-
Field
-
metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
-
. The Nightingale Centre houses the largest breast cancer unit in the UK and the first and largest Family History Risk and Prevention Centre. It is also home to The National Breast Imaging Academy. A large primary
-
experience in microbial and cell culture, experience in cell imaging techniques and the ability to present work with clarity and to a wide range of audiences. Further information is available in the role
-
. The applicant will also support the CRY screening services, as well as receive clinical training in inherited cardiac conditions, sports cardiology and cardiac imaging. Applicants should be clinically
-
and budgets. Engaging with the wider context Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values. Developing
-
ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique
-
or molecular biology with a basic knowledge of mitochondrial biology. Previous experience in cell culture, imaging and CRISPR screening in mammalian cells is a strong advantage. Experience with
-
We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
-
modifications), as well as spatial transcriptomic data. You will systematically review and extract relevant information from clinical records and integrate this with neuropathology, imaging, and omics data
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML