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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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will contribute to teaching activities and common projects of the research group in IP law. The doctoral researcher will join a collegial research group comprising several PhD candidates and one
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sources of exposure. Key Skills, Experience and Qualifications PhD in the field of Analytical chemistry/toxicology. High technical skills in analytical chemistry applied to the detection of chemicals in
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Master level (Co-) Supervision of master and PhD theses is highly encouraged For further information, please contact Prof. Iris Behrmann: Your profile A PhD in Biology, Biochemistry, Biotechnology
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structure-adhesion relationships from characterization data Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Material Science and Engineering or Material Chemistry
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Research FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in