Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Nature Careers
- University of Birmingham
- Imperial College London
- King's College London
- KINGS COLLEGE LONDON
- University of Sheffield
- University of Stirling
- ; UCL
- ; University of Cambridge
- ; University of Glasgow
- CRANFIELD UNIVERSITY
- City University London
- Manchester Metropolitan University
- St George's University of London
- UNIVERSITY OF SOUTHAMPTON
- University of Manchester
- 8 more »
- « less
-
Field
-
image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
-
passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
-
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
-
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
-
’ NHS Foundation Trust and the Department of Twin Research at King’s College London. The fellow will be supervised by Consultant Geriatricians/Physicians throughout this process. This is a part time post
-
. 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
-
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
-
developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
-
of Nottingham, and this post supports the Medical Imaging team based in the School of Medicine. In this post, you will apply advanced imaging methods, including metabolic and physiological magnetic resonance
-
(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging