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Field
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKEKRIEGER3 [#29817] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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Duke University, Evolutionary Anthropology Position ID: Duke -EVANTH -PONTZERPOSTDOCS112024 [#29270] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKEGERECHT2 [#29505] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area