32 computer-science-image-processing-"Multiple"-"Humboldt-Stiftung-Foundation" Fellowship positions
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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field (machine learning or equivalent computer sciences) Experience in machine learning applied in the field of food technology and processing is a plus. An inquisitive mind-set with a strong interest in
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lifetime imaging. Broad knowledge and hands-on training of design, theory and operation of advanced light microscopy systems, including skill and experience in their operation. Mechanical and electronic
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a highly motivated Research Fellow with strong expertise in electron microscopy
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational