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data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
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, who engage with questions about social equity in both research and teaching, and who have strong grounding in the methods and practice of oral history. The holder of this postdoc will teach two courses
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, embracing failure as a learning opportunity, and continuously enhancing our knowledge and methods to tackle local, national, and global challenges. The postdoctoral associate will work directly with both
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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Cornell University, History of Art and Visual Studies Position ID: Cornell-History of Art and Visual Studies-POSTDOC [#31620, WDR-00056959] Position Title: Position Type: Postdoctoral Position
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and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
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recording. The work will also include developing new statistical data analysis tools for behavioral and neural data. More broadly, the postdoc will be part of a large and intellectually vibrant community