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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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will focus on developing efficient foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable
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Deadline: 13 April 2026 Supervisors: Dr Nicholas Grant and Peter Anastasi Project description: Terahertz imaging has the potential to transform sensing, inspection, and medical diagnostics, yet current
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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19 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lund University, Department of experimental medical science Research Field Medical sciences Researcher Profile First
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.-prepared candidate will be appointed as a faculty instructor. The position is a 1.0 FTE. The Diagnostic Medical Physicist will support imaging and the hospital departments by performing evaluations of a wide
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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PhD position (3 years) Participation in an international research collaboration Access to cutting-edge technologies, including spatial transcriptomics and advanced imaging A dynamic and collaborative
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Organ Pathology and Therapeutics Institute (https://optin.pitt.edu ) offer many collaborative research opportunities. The Center for Medical Innovation (https://www.engineering.pitt.edu/CMI ), the Coulter
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including