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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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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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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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requirements, obtain datasets, and validate results Manage research projects and deliverables, as well as prepare research proposals to attract public and private funding Mentor and supervise PhD students and
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PhD in Biological Sciences or a related discipline Preferably, prior professional experience as a Postdoctoral Researcher Proficiency in cell culture techniques, ideally including 3D cell culture models
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Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant projects Manage
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profile PhD in Biological Sciences, Data Science, Computational Biology, or a related discipline Preferably with prior professional experience as a Postdoctoral Researcher Strong computational background