195 postdoctoral-image-processing-in-computer-science-"Multiple"-"Humboldt-Stiftung-Foundation" positions
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Field
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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/interpreting University, Faculty of Medicine and postgraduate and postdoctoral education policies/guidelines Participates in the development, documentation and implementation of processes and procedures
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trainees in imaging science and computational methods. This new faculty will be expected to develop his/her research program, to integrate and broaden the current research programs in the Department, and to
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and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and
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of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
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External Posting Pay Rate Range 60000 to 80000 Close Date 10/30/2025 Priority Review Date (Note - Posting may close at any time) Job Summary The University of Utah’s Scientific Computing and Imaging (SCI
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imaging technology and cell biology. Computational expertise is a plus. A keen interest in research both within and beyond your specialty. The ability to absorb and understand new areas of research
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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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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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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being