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Field
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mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling Research
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childhood cancer The lab has extensive expertise in: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging
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: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling
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sessions and initiatives. The fellow will be trained in the Gallery’s collections-management system (TMS), image and media databases, and other software systems as needed. Mentoring The fellow will be a
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harvesting using advanced metal organic framework material for operation in Kingdom of Saudi Arabia (KSA). This will be accomplished through the advance thermal and mechanical simulation of adsorption systems
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different strategies for reducing the provision of routine low value diagnostic testing and imaging in NSW intensive care units. You will design, conduct, and publish research in collaboration with our health
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES
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degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of