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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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and digital artmaking, digital tools, computer programming for art, interactive art, robotics, 2D animation, 3D animation, stop-animation, and digital illustration. The department seeks to add to its
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of how to set up a computer and install software. Basic website and html. Most important is the willingness to learn. Duties and Responsibilities: Assisting students, faculty, and staff with computer
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multi-modal image registration, based on state-of-the-art machine learning approaches. The developed methods will be applied for ultrasound-based navigation in a novel ultrasound engine designed to drive
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processing software (e.g., Adobe Photoshop, Lightroom, ImageJ) Exposure to or basic understanding of AI concepts and data preparation for machine learning Familiarity with biodiversity data platforms (e.g
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to projects intended to develop tools, protocols, or structured methods for organizing, processing, and presenting medical imaging data for diagnostic and research purposes; overall to accomplish specific
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed