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Field
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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collaboration with the interdisciplinary team at DTU Construct, DTU 3D Imaging Centre, and DTU Compute. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Profile: Doctorate in Computer Science or Image and Signal
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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leadership and project management Flexible working conditions and support for a diverse and inclusive work culture Perspectives towards academic and industry careers in biomedical engineering, imaging, and
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Full time fixed term position until July 2026, located on the Darlington Campus at the Faculty of Engineering Opportunity to contribute to an industrial project on PFAS-free low-adhesion coatings
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intelligence, biomedical engineering, medical image analysis, or a closely related field You have a strong publication record with first-author work in the domain of AI in health You have expertise in deep
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25 Sep 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Engineering Chemistry Engineering Physics Chemistry Researcher Profile Recognised Researcher (R2) Established