Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- KINGS COLLEGE LONDON
- Imperial College London
- University of Birmingham
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University College London
- University of Cambridge
- University of Sheffield
- University of Stirling
- ; University of Glasgow
- CRANFIELD UNIVERSITY
- City University London
- Manchester Metropolitan University
- Nature Careers
- St George's University of London
- University of Manchester
- 10 more »
- « less
-
Field
-
for an outstanding candidate with expertise in the processing, analysis and application of satellite data in environmental monitoring and management. Experience in the use of satellite data for water quality
-
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
-
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
-
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
-
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
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
-
those leading to dementia and neuroinflammation. We have a strong focus on mechanistic dissection of genetic, molecular cellular and neuropathological processes which underlie across the neurodegeneration