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facial movements be converted into intelligible speech in real time? How can adaptive algorithms personalize themselves to the unique, atypical facial movements of the speech impaired? How can the
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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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. This includes, but is not limited to: machine learning algorithms, formal proof assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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exploratory data analysis from complex and high-dimensional datasets. Uses a flexible, analytical approach to design, develop, and evaluate predictive models and algorithms that lead to optimal value extraction
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Requisition Id 16734 Overview: We are seeking Research Associates to advance, implement, and evaluate scalable quantum algorithms for material simulation. This work directly supports the 5-year
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efficient navigation algorithms for multirotor operations around vessels. The role will focus on integrating drone airspace-usage predictions with Vessel Protected Volume models, developing optimisation and
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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and experimental characterization of robotic control algorithms in embedded systems (e.g. integration with hardware timers and interrupts, motor encoders and H-bridges) • Experience with the Haptic
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wide-field surveys (ZTF, LSST, Argus). • Develop algorithms for low-latency multi-messenger searches combining gravitational-wave, gamma-ray-burst, fast-radio-burst, and optical detections. • Make