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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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domain; Fast CEM algorithms in time domain; High-frequency methods and their hybridizations; Acceleration techniques for fast CEM solvers; CEM based SAR and ISAR image processing techniques; The potential
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programming massively parallel computer platforms We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global
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Job Summary Serves as a catalyst in the learning process by presenting course content in an organized and motivating way, keeps current in the chosen field of study, and responds to students as
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all fields of electrical and computer engineering including power systems, parallel and distributed systems, mobile systems, control systems, electromagnetic and transmission lines, embedded systems
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the Institute of Computer Engineering of the Faculty of Informatics at TU Wien, the position of a University Professor (all genders) for the specialist field of “Parallel Computing” with permanent (full-time
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@perrettlaver.com An executive search process is conducted in parallel with the public advertisement of the role. Longlisted candidates will be invited to interview in March and the Selection Panel will subsequently
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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time is to be minimized by developing a robot ensemble for parallelized polishing as well as surface roughness and shape characterization. The »3D Sensors« group contributes to this goal by developing a