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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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the current therapeutic strategy. Specific atypical time-varying patterns such as pseudo-progression and dissociated response will be considered. 2- Methods: We will focus on the study of novel inference
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contributions to geometry and dynamical systems. The targeted profile covers real and complex analysis, harmonic analysis, analysis of PDEs for geometry, contributions of analysis to the following areas: theory
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-driven tumor response criteria, specifically adapted to immunotherapy, so as to optimize the current therapeutic strategy. Specific atypical time-varying patterns such as pseudo-progression and dissociated
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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is on interactive communication of humans with technology. We are seeking excellent applicants who study communication with artificial intelligence (AI). Relevant areas may include communication with
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to the development of digital and face-to-face methods for public involvement, by shaping the theories, methodologies, and tools that underpin participatory knowledge production in human services. Active in research
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full professors, 2 associate professors, and 1 assistant professor, DMATH covers a wide spectrum of research areas: (1) Algebra and Number Theory, (2) Geometry and Topology, (3) Probability and
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institutes (C3M, iBV, IPMC, IRCAN, ISA). Applicants should have a strong background in applied mathematics or theoretical physics, with expertise in areas such as: Nonlinear dynamics Dynamical systems theory
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for public involvement, by shaping the theories, methodologies, and tools that underpin participatory knowledge production in human services. Analyse and develop innovative approaches to service user