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Field
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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positions to pursue PhD projects in the diverse areas of the life sciences. We are looking for young scientists (m/f/d) with a strong interest in interdisciplinary projects to image cell dynamics from
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and a map can be seen on a computer screen in the background] [Image changes to show a male standing next to a multi-corer and smiling at the camera] [Image changes to show four researchers standing
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Biology * Immunology Biophysics * Neurobiology In vivo Imaging * High Resolution Optical Imaging and more. Applications for the PhD program can be submitted from 2 March to 1 May 2026. Projects start in
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning