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development initiatives, including policies to promote a healthy work-life balance; programs to meet the needs of two-career couples; and a commitment to recruit, retain, and develop a representative faculty
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identifying the parameters of PDEs, while on the other, newly emerging gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured
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group is searching for a Research scientist position focused on iterative phase reconstruction algorithms and analysis of time-resolved coherent diffractive imaging datasets. Job description We
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solutions that assist in storage, investigation and dissemination of large data sets. 70%. Works with research team to develop new algorithms to support studies. 20%. Assists with reporting of methods, data
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matches the recorded motion of a group of healthy individuals and its application for the prediction of such movements to enhance human-robot collaboration. Related to this, developing and implementing
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teaching and to curricular development that is informed by real-world experience in an academic or industrial setting. This 12-month position will primarily teach in CDS Online programs and carries a
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and
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experience across BSc and MSc levels. Please find more information about the Algorithms Section: https://algorithms.sdu.dk/ Department: https://imada.sdu.dk/ Odense Campus: https://www.sdu.dk/en/om-sdu/sdu