Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- University of Minnesota
- Rutgers University
- ;
- Karolinska Institutet
- KINGS COLLEGE LONDON
- Oak Ridge National Laboratory
- The Ohio State University
- University of Washington
- Yale University
- Indiana University
- Technical University of Denmark
- Technical University of Munich
- UNIVERSITY OF SYDNEY
- University of Oxford
- University of Sydney
- Washington University in St. Louis
- George Washington University
- Medical College of Wisconsin
- Stony Brook University
- Texas A&M University
- University of Colorado
- University of Virginia
- VIB
- CNRS
- Canadian Association for Neuroscience
- Duke University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Iowa State University
- King's College London
- Loyola University
- Pennsylvania State University
- SciLifeLab
- Stanford University
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- University of California, Los Angeles
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of North Texas at Dallas
- ; Technical University of Denmark
- Aarhus University
- AcademicTransfer
- Aix-Marseille Université
- Amsterdam UMC
- BIODONOSTIA HEALTH RESEARCH INSTITUTE
- Boston College
- Cornell University
- Durham University
- Ghent University
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Institut Pasteur
- Los Alamos National Laboratory
- Macquarie University
- Manchester Metropolitan University
- McGill University
- NTNU - Norwegian University of Science and Technology
- Nencki Institute of Experimental Biology
- Northeastern University
- South Dakota Mines
- Spanish National Research Council
- Texas A&M AgriLife
- University of Antwerp
- University of Arkansas
- University of British Columbia
- University of Cambridge
- University of Central Florida
- University of London
- University of Minnesota Twin Cities
- University of Nebraska Medical Center
- University of Nottingham
- University of Oregon
- University of Texas at Arlington
- University of Texas at Dallas
- University of Twente
- Utrecht University
- Washington State University
- 69 more »
- « less
-
Field
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
-
for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
-
Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
-
solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
-
imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
-
Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
-
, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
-
: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
-
cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering