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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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timing in the shoot apical meristem of plants. The researcher will combine biochemical methods (e.g., proximity labeling), cellular biology techniques (live-cell and tissue imaging, drug treatments, etc
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vision, and health data science. The Visiting Student Researcher will collaborate with faculty, research staff, and students to develop novel computational methods for analyzing biomedical and clinical
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of experimental data generated through immunocytochemistry, molecular biology, and imaging techniques. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria
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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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operations, regulatory requirements, workflow improvement practices, patient scheduling and throughput, budget impacts, and technology systems used in medical imaging and radiation therapy. Ability to adapt
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our diversity, equity and inclusion initiatives, imaging and imaging technology-related clinical and basic science research. The department's missions focus on education, imaging-related research, and
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biology / Immunology laboratory experience, such as: Flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, tissue processing, etc. Molecular biology
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-ray Tech” by the Falling Walls Foundation. [Group website: https://sites.google.com/view/ljwgroup ] We are seeking a Research Fellow to spearhead cutting-edge research in the computational and
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. Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, or a closely related discipline. We are particularly