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of Mathematics and Physics Sokolovská 83, 186 75, Praha 8, Czech Republic Web Page: https://www.mff.cuni.cz/en/math
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation
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. This project seeks to overcome key workflow and precision limitations in HDR brachytherapy by enabling real-time adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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transport within OECT devices Conducting systematic analysis of parameters to achieve optimal response speed, selectivity, and signal amplification of the device Where to apply E-mail teodora.rogosic@unist.hr
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of research activities within the project, particularly including development and optimization of experimental methods and/or analytical approaches, collection, processing, and interpretation of scientific data
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communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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Iowa State University, Department of Mathematics Position ID: ISU-DM [#27811] Position Title: Position Type: Postdoctoral Position Location: Ames, Iowa 50011-2064, United States of America [map