41 parallel-computing-numerical-methods Postdoctoral positions at University of Luxembourg in Luxembourg
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Deadline 29 Sep 2026 - 02:58 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Luxembourg Application Deadline 26 Aug 2026 - 10:42 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Deadline 12 Sep 2026 - 12:14 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing
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in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim to specifically and systematically characterize and validate microbiome
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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
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is a multidisciplinary research centre currently comprising approximately 20 staff members, conducting studies using both qualitative and quantitative methods to investigate youth development and
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expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and stimulating environment, along with frequent opportunities
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currently comprising approximately 20 staff members, conducting studies using both qualitative and quantitative methods to investigate youth development and social inequalities. The Centre maintains close
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centre of the University of Luxembourg, combining experimental, medical and computational approaches to analyze complex biological systems and disease processes. In this frame, the Medical Team aims