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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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digitalization, digital technologies and media (e.g 3D modelling), and quantitative and qualitative scientific methods including those related to digital technology, media and advanced data analysis, will be
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well as interoperable weather and climate forecast products. Support the ingest, validation, interpolation, and analysis of weather data obtained from automated 3D Printed Automatic Weather Stations (3D-PAWS). Conduct
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to 3D printing partners. 4. Bibliographic and patent analysis. 5. Coordination of project activities jointly with the Partners. 6. Drafting of deliverables and Project Milestones. 7. Monitoring
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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genotyping), tissue sectioning and immunohistochemistry/immunofluorescence, confocal and light sheet imaging and quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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neutrophils, tumor cells, CD8+ T-cells, and cancer-associated fibroblasts, within a biomimetic 3D hydrogel that replicates the tumor microenvironment. Observing neutrophil behaviour: Automated image analysis
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. The fellowship is due to start in 04/2026. . WORK PLAN: Development and characterization (physicochemical, mechanical and biological) of 3D biphasic structures based on electrospinning with bioactive agents
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responsible for ensuring technical drawings are completed accurately using the 3D computer-aided drafting program, SOLIDWORKS. The individual will complete and coordinate engineering drawings including layouts