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application tool. The call will remain open until a suitable candidate is identified. Make sure that your application includes: A detailed CV A one-page summary of past research activities (e.g. in PhD/PostDoc
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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efficient decoding algorithms" supported by the Luxembourg National Research Fund (FNR). The APSIA Group is seeking a highly qualified post-doctoral researcher for this project. For further information, you
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Networks, and ICT Services & Applications. Your role Design intelligent agent architectures leveraging large language models (LLMs), planning algorithms, and secure transaction protocols tailored
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as well as guidance from a multidisciplinary team of students and postdocs. Interested? Check out our laboratory and publications on https://raeslab.sites.vib.be/e... and/or https://scholar.google.com
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fusion, pose estimation, EdgeAI Extensive experience in creating and leading research teams and mentoring PhD/postdoc researchers Proven leadership responsibilities in managing research strategy and
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will reflect in its strategic focus the European political agenda of a dual (digital and green) transition and topics related to European sovereignty. Your role We are looking for 2 PostDocs who will
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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings