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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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-generation platform for cancer surgery, which not only removes tumour tissues, but also creates a cellular-resolution phenotypic map of the disease in real time. Together with intraoperative imaging tools
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images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data. This position is ideal for candidates passionate about applying AI
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postdoc fellow will be working on a wave-function picture of open quantum dynamics, including the effect of measurement. The applicant should be a creative and motivated researcher with knowledge of one
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aiming to develop novel Positron Emission Tomography (PET) agents for molecular imaging of the tumor microenvironment. This is a grant-funded position, and the position ends with the grant. Essential
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-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing classical concepts for imaging within
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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development of new light-based and label-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and