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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment. You will
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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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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-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
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closely with LULI's exper-imental teams involved in the Taranis project. This thesis focuses on the theoretical and numerical study of parametric instabilities driv-en by broadband, low-temporal-coherence
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engineering Engineering » Other Mathematics » Applied mathematics Physics » Applied physics Physics » Other Researcher Profile First Stage Researcher (R1) Application Deadline 4 Oct 2026 - 21:59 (UTC) Country
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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science. An interest in data analysis and numerical modelling of weather systems and the climate system is essential, while some experience in coding is desirable. Shortlisting and interviews will