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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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you You will have: PhD in developmental biology/biophysics/cell biology or in the final stages of PhD submission. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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Campus in Viken. Department of Mechanical, Electrical and Chemical engineering has a vacancy for a three year temporary position as PhD Fellow in Electronics, with a particular focus on integrated circuit
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible
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Sound and Image, Multimedia, Visual Arts, New Media, Sonic Arts, Architecture, Art and Technology, Cinema, or a related field. Specific requirements: Candidates must also have knowledge/research
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and the highest in Australia. For further information on our school, go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering Skills & Experience PhD in
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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/Qualifications We welcome applications from researchers who: Hold a PhD in neuroscience, biomedical sciences, physics, engineering, or a related field Have experience in brain imaging (e.g functional ultrasound