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structure refinement techniques such as Amber, CNS etc. Experiences in assignment of highly deuterated methyl labeled proteins using MAGIC and other algorithms. Minimum Education and/or Training: Bachelor's
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
. Programming & Data Analytics (20%) Develop and implement algorithms for system identification, condition assessment, and structural health monitoring. Apply statistical and computational tools to assess
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, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms
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for achieving the desired mechanical and functional properties of the final structures. Unlike conventional DIW systems or the recently developed FL3DP technique that operate on fixed Cartesian coordinate with a
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art. The Data Team is working closely with computer vision researchers
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provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and
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Posting Details Position Information Position Title Assistant Professor of Teaching (Lecturer), Algorithms & Computer Security Department Computer Science and Engineering Posting Number F250105
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machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware