Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- Nature Careers
- UCL;
- University of Birmingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Stirling
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- University College London
- University of Exeter;
- University of Nottingham;
- CRUK Scotland Institute
- KINGS COLLEGE LONDON
- King's College London
- Plymouth University
- Queen's University Belfast
- The University of Edinburgh;
- The University of Southampton
- University of Birmingham;
- University of Leeds
- University of Leeds;
- University of London
- University of Manchester
- University of Newcastle
- University of Oxford
- University of Sheffield
- University of Sussex;
- 17 more »
- « less
-
Field
-
therapies and clinical trials. Your responsibilities will include: processing FASTQ and BAM/CRAM files, and producing variant call files, generating input data for AI tools and implementing secure
-
you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test
-
,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
-
Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer
-
during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines multimodal inputs to provide personalized
-
at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
-
voltammetry, to achieve reliable, picogram-level sensitivity. By combining principles of electrochemistry, nanofabrication and molecular recognition, this research will establish a new paradigm for in-situ
-
industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
-
methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
-
datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is