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Field
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-management) and direct-conversion detection pathways. The role will coordinate materials/device fabrication, characterization and imaging validation (e.g., MTF/SNR, low-contrast detectability), align workplans
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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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: https://www.jobbnorge.no/en/available-jobs/job/294558/phd-research-fellow-in-deep-learning-for-imaging-of-marine-ecosystems Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294558/phd
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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workflows. (Preferred) Basic skills in microscopy image analysis and quantitative data processing. To Apply Applicants should submit: A CV including publications A cover letter describing relevant experience
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no later than October 1, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Deep learning for imaging of marine ecosystems Apply for this job See advertisement About the position
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its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing laboratory