Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Nottingham
- Nature Careers
- University of Oslo
- Harvard University
- Macquarie University
- University of Michigan
- Indiana University
- Monash University
- Zintellect
- City of Hope
- University of Bergen
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Center for Drug Evaluation and Research (CDER)
- Emory University
- Johns Hopkins University
- Nanyang Technological University
- The University of Iowa
- UiT The Arctic University of Norway
- University of Colorado
- University of Maryland, Baltimore
- King's College London
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- NTNU Norwegian University of Science and Technology
- OsloMet
- The Francis Crick Institute;
- The University of Queensland
- University of Arkansas
- University of Cincinnati
- University of Kansas Medical Center
- University of Texas at Austin
- AALTO UNIVERSITY
- American Museum Of Natural History
- Barcelona Beta Brain Research Center
- Barnard College
- Carnegie Mellon University
- Center for Biologics Evaluation and Research (CBER)
- Center for Devices and Radiological Health (CDRH)
- Central Michigan University
- Champalimaud Foundation
- Duke University
- FIDMAG Research Foundation
- German Cancer Research Center
- Hobart and William Smith Colleges
- INESC TEC
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- King Abdullah University of Science and Technology
- Michigan State University
- NTNU - Norwegian University of Science and Technology
- New York University
- Northeastern University
- Princeton University
- Queen Mary University of London;
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- SciLifeLab
- The University of Edinburgh;
- Trinity College Dublin
- UCL;
- UNIVERSITY OF MELBOURNE
- University of California, Los Angeles
- University of California, San Francisco
- University of Kentucky
- University of Lund
- University of Minnesota
- University of New South Wales
- University of Nottingham;
- University of Oxford
- University of Virginia
- University of the West of England
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Vanderbilt University
- jobs.ac.uk
- Łukasiewicz PORT
- 65 more »
- « less
-
Field
-
highly active here. The primary goal of this position is to implement novel MRI and image processing techniques for the application in radiation therapy, including imaging guidance of radiotherapy
-
. Her team is investigating biological processes that are critical to the progression of cancer and other diseases by using quantitative super-resolution microscopy. For more information on the Jovanovic
-
systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
-
practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
-
. - must not have resided or carried out his/her main activities in Spain for more than 12 months in the 3 years immediately prior 09/09/2026. Additional Information Selection process Send us a mail to rrhh
-
underlying the processing of natural visual stimuli, using in vivo large-scale two-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data
-
Qualifications Required: • US medical student (MS3 or MS4) or recent medical graduate • Demonstrated interest in neurosurgery, spine surgery, and academic medicine • Strong organizational skills
-
specialist mass spectrometry instrumentation, including high-resolution Orbitrap platforms (QExactive, Fusion Lumos), triple quadrupole LC-MS/MS systems, and surface and imaging MS technologies (e.g. AP-MALDI
-
interested in candidates with a strong background in advanced imaging, quantitative image analysis, and/or tissue morphogenesis and mechanics. If you are excited by the prospect of tackling fundamental
-
to the POSSEM trial, using photon-counting coronary CT angiography, advanced imaging, and computational modelling to identify patients at risk of accelerated coronary artery disease and enable more personalised