317 medical-imaging scholarships

Two PhD positions in AI for medical imaging

the field of machine learning for medical imaging. About us The research group AI for Vision focuses on blue-sky research in the fields of (1) machine learning for medical image analysis, (2) weakly and self

Doctoral scholarship holder medical image processing and analysis using deep learning

of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data

PhD position on Robust, Generalizable AI for Medical Imaging

in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods

Doctoral scholarship holder medical image processing and analysis using deep learning

in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data-driven approach to microstructure imaging” (ADAMI), funded by

PhD Scholarship in Weakly-Supervised Machine Learning for Medical Image Analysis

Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained

PhD student position in deep generative modeling for medical image analysis

Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep

PhD candidate in AI/Machine Learning for Medical Image Computing in collaboration with the Dept. of Behavioural and Cognitive Sciences

The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms

PhD Student (f/m/d) Harmonized PET imaging for outcome prediction in cancer treatment / Master degree in medical physics, physics, data science, medical engineering or a closely related field

variability # Finally assess the impact of harmonised PET image processing on outcome prediction Your profile: # Master degree in medical physics, physics, data science, medical engineering or a closely related

I-MED Radiology Network Medical Imaging Bursary

$5,000 of funding as a cash payment to assist with the out-of-pocket expenses associated with undertaking a regional placement. Eligibility You must: be enrolled in the Bachelor of Medical Imaging (Honours

Julia Metcalfe Award in Medical Imaging - The University of Auckland

For: Assistance Number on offer: One Offer rate: Annually Value: $2,500 The Award was established in 2019 and is funded by ADHB Radiology and the Department of Anatomy and Medical Imaging