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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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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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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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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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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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into pilot-scale production processes. Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in Material Science, Physics, Chemistry, or a related field. Experience
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described below? Are you our future colleague? Apply now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Electrochemistry or related fields. Experience and skills
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Applications should include: A cover letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works
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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception