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Field
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artists, sound artists, and photographers whose creative projects seek to interpret the world, especially the fabric of human existence and cultural difference, through moving and still images and sounds
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of radiation therapy. In this role, you will contribute to the design and implementation of intelligent tools for treatment planning automation, image and data analysis, and adaptive radiation therapy workflows
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developing subspeciality expertise. Demonstrates experience in digital pathology and image analysis. Cancer Research experience. Familiarity with AI/ML concepts. Evidence of active participation in cancer
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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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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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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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for detection of micro and nanoplastics through various filtration procedures Analysis of micro and nanoplastics utilizing state-of-the-art imaging techniques such as microRaman, microFTIR, Transmission and
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on the project to deliver state‑of‑the‑art single‑photon imaging capabilities. Job Requirements: The Research Fellow will be required to: Design, assemble, and align a single‑photon‑enabled scanning microscope
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: Generative AI for visual exploration of biomedical data Interfaces for collaboration with AI Co-Scientists Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data