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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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the general objective of functionally validating the presence of ENO1 protein in the membrane of breast cancer cells and developing a radiolabeled peptide tracer capable of being used for molecular imaging and
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-based genetic perturbations. Conduct phenotypic characterization using advanced live-imaging and quantitative image analysis. Generate and integrate molecular and metabolic datasets, including
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Biophysics, Bioengineering, Cell Biology or equivalent. Expertise in image/data analysis and coding using Python and ImageJ is required. Experience in cell culture and basic molecular biology techniques is
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of molecular complexes directly within cells. A central focus of the project will be the development of improved image simulation frameworks. These simulations will not only serve as benchmarking tools
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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related to staff position within a Research Infrastructure? No Offer Description Ultrasonic waves are widely used in biomedical applications such as medical imaging, physiotherapy, and targeted drug